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Tytuł:
Detection of wear parameters using existing sensors in the machines environment to reach higher machine precision
Autorzy:
Schmitt, R. R.
Decressin, R.
Dietrich, F.
Dröder, K.
Powiązania:
https://bibliotekanauki.pl/articles/99855.pdf
Data publikacji:
2018
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
predictive maintenance
analysis
precision
predictive model
Opis:
This paper presents methods to plan predictive maintenance for precision assembly tasks. One of the key aspects of this approach is handling the abnormalities during the development phase, i.e. before and during process implementation. The goal is to identify abnormalities which are prone to failure and finding methods to monitor them. To achieve this, an example assembly system is presented. A Failure Mode and Effects Analysis is then applied to this assembly system to show which key elements influence the overall product quality. Methods to monitor these elements are presented. A unique aspect of this approach is exploring additional routines which can be incorporated in the process to identify machine specific problems. As explained within the paper, the Failure Mode and Effects Analysis shows that the resulting quality in a case study from a precision assembly task is dependent on the precision of the rotational axis. Although the rotational axis plays a significant role in the resulting error, it is hard to explicitly find a correlation between its degradation and produced parts. To overcome this, an additional routine is added to the production process, which directly collects information about the rotational axis. In addition to the overall concept, this routine is discussed and its ability to monitor the rotational axis is confirmed in the paper.
Źródło:
Journal of Machine Engineering; 2018, 18, 2; 85-96
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Model predictive control of the two-mass drive system with mechanical backlash
Autorzy:
Serkies, P. J.
Szabat, K.
Powiązania:
https://bibliotekanauki.pl/articles/97185.pdf
Data publikacji:
2011
Wydawca:
Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Tematy:
predictive control
drive system
MPC
Opis:
In the paper an application of the model predictive controller for the drive system with elasticity and backlash is presented. In the introduction the control problem of the drive system with mechanical backlash is introduced. Next, the mathematical model of the drive is presented. Then the predictive algorithm is described briefly. The performance of the predictive controller is examined in the simulation study. The influence of the changing of the matrix Q is tested.
Źródło:
Computer Applications in Electrical Engineering; 2011, 9; 170-180
1508-4248
Pojawia się w:
Computer Applications in Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Predykcyjne sterowanie ciśnieniem sieci wodociągowej w celu optymalizacji parametrów jej pracy
Predictive pressure control of a water distribution network
Autorzy:
Wiglenda, R.
Moczulski, W.
Powiązania:
https://bibliotekanauki.pl/articles/152757.pdf
Data publikacji:
2011
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
sterowanie predykcyjne
Model Predictive Control
MPC
sterowanie ciśnieniem w sieci wodociągowej
predictive control
model predictive control
pressure control of a water distribution network
Opis:
W artykule zaprezentowano wyniki badań dotyczących sterowania predykcyjnego ciśnieniem w sieci wodociągowej o wielu zasilaniach. Przedmiotem sterowania była optymalizacja parametrów pracy sieci, mająca na celu obniżenie ciśnienia w porze nocnej, w miejscach sieci, gdzie ze względu na ich położenie ponad poziomem morza występuje maksymalne ciśnienie, przy jednoczesnym zapewnieniu minimalnego wymaganego ciśnienia w pozostałych punktach sieci. Rezultat ten uzyskano przez manipulowanie ciśnieniami na zasilaniach, które daje pożądany przebieg linii ciśnień dla danej strefy. W budowie regulatora zastosowano algorytm Generalized Predictive Control (GPC), w którym model obiektu sterowanego zidentyfikowano w oparciu o dane otrzymane w wyniku eksperymentu numerycznego. Sprawdzenie poprawności rozwiązania przeprowadzono w środowisku Matlab® korzystając z przybornika Model Predictive Control™. Weryfikację działania metody oparto o dane i strukturę obiektu zidentyfikowane w ramach projektu prowadzonego we współpracy z PWiK Rybnik Sp. z. o. o. Otrzymane wyniki potwierdzają poprawność działania metody dla tak postawionego problemu eksploatacji sieci wodociągowych.
The paper presents results of research on predictive control of a water distribution network with multiple supplies. The object of study was optimization of work parameters of a water distribution network in order to decrease the level of pressure at night for the places with the highest pressure values. This was achieved by manipulating the supply pressures to obtain the desired level of the pressure lines for a given area. The considered water distribution networks are shown in Figs. 1 and 2, whereas description of the network characteristic points is given in Tab. 1. The detailed discussion of selected water networks is contained in [1, 2, 3]. The authors made a deep literature review [4] and, as a result, selected the Generalized Predictive Control algorithm (see Fig. 4) as a framework for the predictive control. The schema of the predictive control for an exemplary water distribution network is shown in Fig. 5. The con-trolled plant was identified from a numerical experiment made on a network simulation model. An exemplary result of model identification is shown in Fig. 3. The solution was verified in the Matlab® environment with use of the Model Predictive Control™ toolbox. The results shown in Figs. 6-10 confirm that the method is a proper solution to this water distribution network maintenance problem. Implementation of the predictive control in a real water distribution network needs some costs to be incurred. However, it is expected that the costs will be returned soon, thanks to significant decrease in the number of malfunctions in the network caused by excessive hydraulic loads of the water network elements. In addition, it is possible to use the predictive control as a solution to the problem of undetected leakages whose level may be reduced with this method of control.
Źródło:
Pomiary Automatyka Kontrola; 2011, R. 57, nr 9, 9; 1028-1031
0032-4140
Pojawia się w:
Pomiary Automatyka Kontrola
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Comparison between GPC and adaptive GPC based on Takagi Sugeno multi-model for an Activated Sludge Reactor
Autorzy:
Matoug, L.
Khadir, M. T.
Powiązania:
https://bibliotekanauki.pl/articles/206049.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
adaptive generalized predictive control
generalized predictive control
Takagi Sugeno
activated sludge reactor
activated sludge model
Opis:
This paper investigates the use of Adaptive Generalized Predictive Control (TS-AGPC) for an activated sludge reactor, based on a Takagi Sugeno (TS) model, and presents the comparison between the latter and Generalized Predictive Control using an overall TS model (TS-GPC). The reduced bio-reactor Activated Sludge ASM1 Model, which describes the biological degradation of an activated sludge reactor, is designed based on several simplifications, as a TS model, its structure being based on a set of linear submodels, covering the process input-output space, interpolated by a nonlinear weighting function µ. The adaptive GPC approach is obtained by switching between linear submodels of the TS formulation. This is performed by selecting, in turns, a portion of the weighting function µ. The winning model will then act as an internal model for the TS-AGPC control law formulation, whereas the complete TS model is used in the calculation of the TS-GPC control law. Finally, the performance under input and parametric disturbances as well as control variable constraints of the TS-AGPC controller are compared to those for a global TS-GPC controller and a benchmark PID in terms of error and response dynamics.
Źródło:
Control and Cybernetics; 2017, 46, 2; 147-176
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Decision Making in Reference to Model of Marketing Predictive Analytics – Theory and Practice
Autorzy:
Tarka, Piotr
Łobiński, Maciej
Powiązania:
https://bibliotekanauki.pl/articles/417287.pdf
Data publikacji:
2014-03-15
Wydawca:
Akademia Leona Koźmińskiego w Warszawie
Tematy:
model of predictive analytics marketing
decisions
Opis:
Purpose: The objective of this paper is to describe concepts and assumptions of predictive marketing analytics in reference to decision making. In particular, we highlight issues pertaining to the importance of data and the modern approach to data analysis and processing with the purpose of solving real marketing problems that companies encounter in business. Methodology: In this paper authors provide two study cases showing how, and to what extent predictive marketing analytics work can be useful in practice e.g., investigation of the marketing environment. The two cases are based on organizations operating mainly on Web site domain. The fi rst part of this article, begins a discussion with the explanation of a general idea of predictive marketing analytics. The second part runs through opportunities it creates for companies in the process of building strong competitive advantage in the market. The paper article ends with a brief comparison of predictive analytics versus traditional marketing-mix analysis. Findings: Analytics play an extremely important role in the current process of business management based on planning, organizing, implementing and controlling marketing activities. Predictive analytics provides the actual and current picture of the external environment. They also explain what problems are faced with the company in business activities. Analytics tailor marketing solutions to the right time and place at minimum costs. In fact they control the effi ciency and simultaneously increases the effectiveness of the firm. Practical implications: Based on the study cases comparing two enterprises carrying business activities in different areas, one can say that predictive analytics has far more been embraces extensively than classical marketing-mix analyses. The predictive approach yields greater speed of data collection and analysis, stronger predictive accuracy, better obtained competitor data, and more transparent models where one can understand the inner working of the model. Originality: Authors describe the importance of analytics which enhance the decisions that the company makes as it executes strategies and plans, so that the company can be more effective and achieve better results. The key factor that enables to execute marketing strategies accurately and build competitive advantage in the future includes predictive modeling. The ability to predict probable futures allows us to shape the future, rather than merely survive whatever it brings.
Źródło:
Management and Business Administration. Central Europe; 2014, 22, 1; 60-69
2084-3356
Pojawia się w:
Management and Business Administration. Central Europe
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Robust model predictive control for autonomous Underwater Vehicle – Manipulator System with fuzzy compensator
Autorzy:
Esfahani, Hossein Nejatbakhsh
Powiązania:
https://bibliotekanauki.pl/articles/260317.pdf
Data publikacji:
2019
Wydawca:
Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:
UVMS
model predictive control
fuzzy compensator
Opis:
This paper proposes an improved Model Predictive Control (MPC) approach including a fuzzy compensator in order to track desired trajectories of autonomous Underwater Vehicle Manipulator Systems (UVMS). The tracking performance can be affected by robot dynamical model uncertainties and applied external disturbances. Nevertheless, the MPC as a known proficient nonlinear control approach should be improved by the uncertainty estimator and disturbance compensator particularly in high nonlinear circumstances such as underwater environment in which operation of the UVMS is extremely impressed by added nonlinear terms to its model. In this research, a new methodology is proposed to promote robustness virtue of MPC that is done by designing a fuzzy compensator based on the uncertainty and disturbance estimation in order to reduce or even omit undesired effects of these perturbations. The proposed control design is compared with conventional MPC control approach to confirm the superiority of the proposed approach in terms of robustness against uncertainties, guaranteed stability and precision.
Źródło:
Polish Maritime Research; 2019, 2; 104-114
1233-2585
Pojawia się w:
Polish Maritime Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Predictive factors for preeclampsia in pregnant women: a unvariate and multivariate logistic regression analysis
Autorzy:
Direkvand-Moghadam, Ashraf
Khosravi, Afra
Sayehmiri, Kourosh
Powiązania:
https://bibliotekanauki.pl/articles/1039684.pdf
Data publikacji:
2012
Wydawca:
Polskie Towarzystwo Biochemiczne
Tematy:
preeclampsia
risk factors
independent predictive factors
Opis:
Introduction: Several risk factors have been used to predict preeclampsia. The role of some risk factors as predictors associated with preeclampsia among Iranian women was analyzed in the present study using logistic regression. Materials and Methods: 610 women attending the obstetric ward of Mustafa hospital in Ilam were enrolled in this study. Demographic variables such as age, Body Mass Index (BMI), medical and obstetrics variables such as education, number of pregnancy, abortion and parity from May to September 2010 were analyzed. We used the unvaried and multiple logistic regression analyses to predict preeclampsia. Results: The history of preeclampsia, hypertension, and infertility showed to be good independent predicator variables for preeclampsia using multivariate logistic regression analysis (OR was 5.46, 2.34 and 3.07 respectively). Area Under the Receiver Operation Character (AUROC) was estimated to be 0.67 (95% CI 0.59-0.67, p<0.01) indicating the efficacy of the model for the prediction. Conclusion: The history of preeclampsia, hypertension and infertility predict preeclampsia with an increased odds ratio. Using such variables in regression analysis can help to diagnose preeclampsia beforehand and hence allow timely intervention.
Źródło:
Acta Biochimica Polonica; 2012, 59, 4; 673-677
0001-527X
Pojawia się w:
Acta Biochimica Polonica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Risk associated with heavy metals in children playground soils of Owerri metropolis, Imo State, Nigeria
Autorzy:
Wirnkor, Verla Andrew
Evelyn Ngozi, Verla Evelyn
Powiązania:
https://bibliotekanauki.pl/articles/1118068.pdf
Data publikacji:
2017
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
Bioconcentration
Metal fractions
Models
Predictive
Risk
Opis:
Despite recording the worst heavy metal disaster involving children, there is still scarcity of information on risk assessment of playground soils in Nigeria. In this study, thirty-six soil samples at 0-5 cm depth were collected from nine playgrounds in Owerri metropolis during the dry and rainy seasons. Five heavy metals were fractionated into six chemical fractions using a modified sequential extraction scheme and mean concentrations quantified by AAnalyst 400 Perkin Elmer AAS. Predictive risk models were used to obtain information about the risk of metals contamination to children using these playgrounds for longer periods. These reveal that there were no significant differences in the mean values of bioconcentration factors of all five metals in the various playgrounds for the two years of data. Even though risk values for both dry and rainy season followed the same trend, it was observed that the Zinc showed highest bioconcentration factors (1.6), average daily dose (230.08 mg/kg/day) and risk (5095593 mg/kg/6years). Over all, playgrounds UPS, TSO and SCP had highest mean risk values, respectively. Though with no clear trend, mobility factors showed a weak and positive correlation with risk. Children in playgrounds of public schools within Owerri metropolis could, therefore, be at risk of Mn, Cu and Zn toxicity problems as projected risk values were high for all studied playgrounds. This assessment could help identify playgrounds with urgent need for heavy metals reduction goals, consequently contributing to preserving children’s health.
Źródło:
World News of Natural Sciences; 2017, 10; 49-69
2543-5426
Pojawia się w:
World News of Natural Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Life cycle costing used for justifying transition to predictive maintenance strategies
Autorzy:
Mikler, J.
Powiązania:
https://bibliotekanauki.pl/articles/99511.pdf
Data publikacji:
2011
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
reliability
life cycle costing
predictive maintenance
Opis:
As the market imposes constantly increasing levels of reliability and availability of production equipment, it is necessary to shift the focus of maintenance toward predictive strategies. However, as any other investment, implementation of the required condition monitoring systems has to be cost justified. This paper presents a case study showing use of LCC calculations to assess changes of maintenance strategy for a CNC machining centre. It was proven that replacing reactive maintenance tasks with simple condition monitoring and preventive activities results in lower whole life cycle cost of the analysed machining centre.
Źródło:
Journal of Machine Engineering; 2011, 11, 4; 49-58
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Predictive position control in two-mass drive with induction motor over a wide range of speed changes
Autorzy:
Serkies, P. J.
Tarchała, G.
Powiązania:
https://bibliotekanauki.pl/articles/97267.pdf
Data publikacji:
2012
Wydawca:
Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Tematy:
DTC-SVM
induction motor
predictive control
Opis:
This paper deals with the predictive shaft position control for the two-mass induction motor drive. The controller co-operates with the Direct Torque Control - Space Vector Modulation (DTC-SVM), also in the field-weakening region. The adaptation mechanism of the torques constraints is applied to ensure that the critical torque is not exceeded. Within the framework of the research the influence of the position time constant and the speed constraint level on the dynamical properties is analysed, also in the field-weakening region.
Źródło:
Computer Applications in Electrical Engineering; 2012, 10; 146-157
1508-4248
Pojawia się w:
Computer Applications in Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Stair-like multivariable generalized predictive control of pulverizing system in thermal power plants
Autorzy:
Zhang, Jiansheng
Zhang, Gang
Gao, Yaokui
Hu, Yong
Powiązania:
https://bibliotekanauki.pl/articles/136266.pdf
Data publikacji:
2019
Wydawca:
EEEIC International Barbara Leonowicz Szabłowska
Tematy:
power plants
predictive Control
pulverization process
Opis:
Pulverizing system is an important part in the clean and efficient utilization of coal in thermal power plant, and the optimal control of the system is an important way to achieve this goal. This paper presents a stair-like multivariable generalized predictive control scheme for a pulverizing system. This control scheme focuses on the problem of predictive control algorithm in practical application, and integrates the feedforward experience in traditional control schemes of pulverizing system. Simulation results showed that the scheme are able to realize the decoupling control of the pulverizing system, avoid the problem of matrix inversion, reduce the amount of calculation, and has certain engineering application value.
Źródło:
Transactions on Environment and Electrical Engineering; 2019, 3, 1; 21-25
2450-5730
Pojawia się w:
Transactions on Environment and Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Mechanizm predykcji liniowej w zadaniu biometrycznej identyfikacji mówcy
The Mechanism of Linear Pprediction in the Task Speaker Identification
Autorzy:
TWARÓG, Bogusław
ŻESŁAWSKA, Ewa
Powiązania:
https://bibliotekanauki.pl/articles/457373.pdf
Data publikacji:
2015
Wydawca:
Uniwersytet Rzeszowski
Tematy:
identyfikacja
biometria
rozpoznawanie mowy
LPC (linear predictive coding)
identification
biometrics
voice recognition
LPC (Linear Predictive Coding)
Opis:
W artykule przedstawiono mechanizm predykcji liniowej w zadaniu biometrycznej identyfikacji mówcy. Przedstawiono zagadnienie metody opartej na predykcji liniowej LPC (linear predictive coding). Zaprezentowano otrzymane wyniki badań zaprojektowanej aplikacji.
The article presents the linear prediction mechanism in the task of biometric identification speaker. The problems method based on linear prediction LPC (Linear Predictive Coding). Also the preliminary results has been presented too.
Źródło:
Edukacja-Technika-Informatyka; 2015, 6, 3; 271-277
2080-9069
Pojawia się w:
Edukacja-Technika-Informatyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Prediction control systems in marine applications
Autorzy:
Gierusz, W.
Miller, A.
Powiązania:
https://bibliotekanauki.pl/articles/117282.pdf
Data publikacji:
2020
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
control system
marine applications
ship motion
automatic system
Model Predictive Control (MPC)
multiple input
Multiple Output (MIMO)
Model Predictive Heuristic Control (MPHC)
Generalized Predictive Control (GPC)
Opis:
The paper presents one of the modern control methods used for steering of the ship motion. The different automatic systems used to navigate the vessels are described at the beginning. Next, prediction control methodology is presented and multidimensional MPC regulator applied to steering of the training ship is shown as a technical product. Tests results from the real-time experiments with the mentioned controller are presented at the end of the article.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2020, 14, 2; 361-366
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Problemy wspomagania decyzji w systemach utrzymania ruchu
Problems of decision support in maintenance systems
Autorzy:
Kosicka, E.
Mazurkiewicz, D.
Gola, A.
Powiązania:
https://bibliotekanauki.pl/articles/408648.pdf
Data publikacji:
2016
Wydawca:
Politechnika Lubelska. Wydawnictwo Politechniki Lubelskiej
Tematy:
predykcyjne utrzymanie ruchu
model predykcyjny
awaria wyposażenia
diagnostyka uszkodzeń
predictive maintenance
predictive model
equipment failure
fault diagnosis
Opis:
W artykule przedstawiono problemy związane z opracowaniem modelu adaptacyjnego algorytmu wspomagania decyzji w systemie utrzymania ruchu, który w zależności od zmieniających się parametrów procesów resztkowych, dobiera odpowiedni model matematyczny wyznaczony przez kryteria predykcyjne i informacyjne. Proponowany model zawiera dodatkowo część decyzyjną, która na podstawie informacji skupiających się na obszarze działań Służb Utrzymania Ruchu generuje zawężony optymalny przedział czasu, w którym konieczne jest przeprowadzenie konserwacji.
The paper proposes problems with development of a model of adaptive algorithm for maintenance decision support system which – depending on the changing parameters of residual processes – selects an adequate mathematical model based on predictive and informative criteria. The proposed model additionally contains a maintenance decision-related part which – based on the information about actions taken by maintenance services – generates a constrained optimal time interval for performing the necessary maintenance work.
Źródło:
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska; 2016, 4; 49-52
2083-0157
2391-6761
Pojawia się w:
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Model adaptacyjnego algorytmu wspomagania decyzji w systemie utrzymania ruchu
A model of adaptive algorithm for maintenance decision support system
Autorzy:
Kosicka, E.
Mazurkiewicz, D.
Gola, A.
Powiązania:
https://bibliotekanauki.pl/articles/339925.pdf
Data publikacji:
2016
Wydawca:
Polskie Towarzystwo Zarządzania Produkcją
Tematy:
predykcyjne utrzymanie ruchu
modele predykcyjne
awarie sprzętu
diagnozowanie usterek
predictive maintenance
predictive models
equipment failure
fault diagnosis
Opis:
Currently used predictive maintenance systems predict future events by monitoring residual processes using the enforced predictive model. Despite the benefits resulting from their implementation in companies (e.g. savings resulting from preventing failure), it is necessary to draw attention to the fact that such models lack flexibility in adapting to the dynamically changing values of observation vectors due to real-time readout which can provide more accurate predictions. The paper proposes a model of adaptive algorithm for maintenance decision support system which - depending on the changing parameters of residual processes - selects an adequate mathematical model based on predictive and in-formative criteria. Moreover, to produce more accurate predictions this model uses additional input data for prediction including values of residual processes as well as technical or quality-related aspects due to the extended range of observed factors that affect failure occurrence. The proposed model additionally contains a maintenance decision-related part which - based on the information about actions taken by maintenance services - generates a constrained optimal time interval for performing the necessary maintenance work.
Źródło:
Zarządzanie Przedsiębiorstwem; 2016, 19, 4; 29-35
1643-4773
Pojawia się w:
Zarządzanie Przedsiębiorstwem
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Suboptimal Non-linear Predictive Control Based on MLP and RBF Neural Models with Measured Disturbance Compensation
Autorzy:
Ławryńczuk, M.
Powiązania:
https://bibliotekanauki.pl/articles/384285.pdf
Data publikacji:
2008
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
predictive control
neural networks
linearisation
quadratic programming
Opis:
This paper is concerned with a computationally efficient (suboptimal) non-linear Model Predictive Control (MPC) algorithm based on two types of neural models: Multilayer Perceptron (MLP) and Radial Basis Function (RBF) structures. The model takes into account not only controlled but also the uncontrolled input of the process, i.e. the measured disturbance. The algorithm is computationally efficient, because it results in a quadratic programming problem, which can be effectively solved on-line by means of a numerically reliable software subroutine. Moreover, the algorithm gives good closed-loop control performance, comparable to that obtained in the fully-fledged non-linear MPC technique, which hinges on non-linear, usually non-convex optimisation.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2008, 2, 2; 54-64
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
General overview of maintenance strategies – concepts and approaches
Autorzy:
Gackowiec, Paulina
Powiązania:
https://bibliotekanauki.pl/articles/2064749.pdf
Data publikacji:
2019
Wydawca:
STE GROUP
Tematy:
maintenance
maintenance strategies
maintenance management
predictive maintenance
Opis:
This paper presents a literature review of maintenance strategies formulation. The purpose of this article is to provide an overview of different published concepts of maintenance strategies, distinguish the most common approaches to this issue and find a general tendency in strategies classification. Furthermore, the review is aimed to point out the importance of unscheduled downtime which might occur during equipment runtime in a production plant. The paper classifies the existing maintenance concepts and emphasizes key assumptions of the analysed strategies. The literature study and carried out analysis could be useful to find appropriate reliability assurance methods. In addition, defined maintenance approaches might help in decision making process in a company. The paper is a comprehensive overview of discussed strategies, which indicates the most frequent maintenance models in the analysed papers.
Źródło:
Multidisciplinary Aspects of Production Engineering; 2019, 2, 1; 126--139
2545-2827
Pojawia się w:
Multidisciplinary Aspects of Production Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Verification of the predictive segmentation algorithm for the laser triangulation method
Autorzy:
Reiner, J.
Stankiewicz, M.
Powiązania:
https://bibliotekanauki.pl/articles/220548.pdf
Data publikacji:
2011
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
laser triangulation
predictive segmentation
discrete Gaussian curvature
Opis:
Laser triangulation is one of the machine vision measurement methods most commonly used in 3D quality control. However, considering its susceptibility to interference, it cannot be used in certain areas of industrial production e.g. very shiny surfaces. Thus, for the improvement of its applicability, a predictive algorithm of light profile segmentation was designed, where - as a result of using a'priori knowledge - the method becomes resistant to secondary reflexes. The developed technique has been tested on selected parts with surfaces typical for the machine-building industry. The evaluation has been presented based on the surface representation (mapping) error analysis, using the difference between the obtained cloud of points and the nominal surface as processing data, as well as scatter of the discrete Gauss curvature.
Źródło:
Metrology and Measurement Systems; 2011, 18, 4; 667-678
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Derivation of a Cost Model to Aid Management of CNC Machine Tool Accuracy Maintenance
Autorzy:
Shagluf, A.
Longstataff, A. P.
Fletcher, S.
Powiązania:
https://bibliotekanauki.pl/articles/99741.pdf
Data publikacji:
2015
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
downtime cost
machine tools
predictive calibration
accuracy
Opis:
Manufacturing industries strive to produce improved component accuracy while not reducing machine tool availability or production throughput. The accuracy of CNC production machines is one of the critical factors in determining the quality of these components. Maintaining the capability of the machine to produce in-tolerance parts can be approached in one of two ways: run to failure or periodic calibration and monitoring. The problem is analogous to general machine tool maintenance, but with the clear distinction that the failure mode of general machine tool components results in a loss of production, whereas that of accuracy allows parts to be produced, which are only later detected as non-conforming as part of the quality control processes. This distinction creates problems of cost-justification, since at this point in the manufacturing chain, any responsibility of the machine is not directly evident. Studies in the field of maintenance have resulted in cost calculations for the downtime associated with machine failure. This paper addresses the analogous, unanswered problem of maintaining the accuracy of CNC machine tools. A mathematical cost function is derived that can form the basis of a strategy for either running until non-conforming parts are detected or scheduling predictive CNC machine tool calibrations. This is sufficiently generic that it can consider that this decision will be based upon different scales of production, different values of components etc. Therefore, the model is broken down to a level where these variables for the different inputs can be tailored to the individual manufacturer.
Źródło:
Journal of Machine Engineering; 2015, 15, 2; 17-43
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Machine tool ability representation: a review
Autorzy:
Sadasivam, L.
Archenti, A.
Sandberg, U.
Powiązania:
https://bibliotekanauki.pl/articles/99804.pdf
Data publikacji:
2018
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
machine tool
ability
health
predictive maintenance
accuracy
Opis:
Smart manufacturing and predictive maintenance are current trends in the manufacturing industry. However, the holistic understanding of the machine tool health condition in terms of accuracy, functions, process and availability is still unclear. This uncertainty renders the development of models and the data acquisition related to machine tool health condition ineffective. This paper proposes the term machine tool ability as an interconnection between the accuracy, functions, the process and the availability to overcome the lack of the holistic understanding of the machine tool. This will facilitate the further development of qualitative or quantitative methods as well as models. The research highlights the challenges and gaps to understand the machine tool ability.
Źródło:
Journal of Machine Engineering; 2018, 18, 2; 5-16
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Design of a Machine Learning Based Predictive Analytics System for Spam Problem
Autorzy:
Yüksel, A.
Çankaya, Ş.
Üncü, İ.
Powiązania:
https://bibliotekanauki.pl/articles/1031624.pdf
Data publikacji:
2017-09
Wydawca:
Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:
spam
predictive analytics
machine learning
trust identities
Opis:
Spamming is the act of abusing an electronic messaging system by sending unsolicited bulk messages. Filtering of these messages is merely another line of defence and does not prevent spam messages from circulating in email systems. This problem causes users to distrust email systems, suspect even legitimate emails and leads to substantial investment in technologies to counter the spam problem. Spammers threaten users by abusing the lack of accountability and verification features of communicating entities. To contribute to the fight against spamming, a cloud-based system that analyses the email server logs and uses predictive analytics with machine learning to build trust identities that model the email messaging behavior of spamming and legitimate servers has been designed. The system constructs trust models for servers, updating them regularly to tune the models. This study proposed that this approach will not only minimize the circulation of spam in email messaging systems, but will also be a novel step in the direction of trust identities and accountability in email infrastructure.
Źródło:
Acta Physica Polonica A; 2017, 132, 3; 500-504
0587-4246
1898-794X
Pojawia się w:
Acta Physica Polonica A
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fault Sensitivity of Explicit DMC and GPC Algorithms
Autorzy:
Gawkowski, P.
Ławryńczuk, M.
Marusak, P.
Powiązania:
https://bibliotekanauki.pl/articles/384867.pdf
Data publikacji:
2009
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
dependability
fault injection
process control
predictive control
Opis:
This paper studies dependability of software implementation of DMC (Dynamic Matrix Control) and GPC (Generalised Predictive Control) Model Predictive Control (MPC) algorithms. Explicit formulation of algorithms is considered in which the control laws are calculated off-line. Dependability is evaluated using software implemented fault injection approach. Tests are performed in the control system of a remotely controlled robot vehicle used in nuclear plants.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2009, 3, 1; 52-56
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Predictive Maintenance Sensors Placement by Combinatorial Optimization
Autorzy:
Borissova, D. I.
Mustakerov, I. C.
Doukovska, L. A.
Powiązania:
https://bibliotekanauki.pl/articles/227278.pdf
Data publikacji:
2012
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
predictive maintenance
optimal sensors placement
combinatorial optimization
Opis:
The strategy of predictive maintenance monitoring is important for successful system damage detection. Maintenance monitoring utilizes dynamic response information to identify the possibility of damage. The basic factors of faults detection analysis are related to properties of the structure under inspection, collect the signals and appropriate signals processing. In vibration control, structures response sensing is limited by the number of sensors or the number of input channels of the data acquisition system. An essential problem in predictive maintenance monitoring is the optimal sensor placement. The paper addresses that problem by using mixed integer linear programming tasks solving. The proposed optimal sensors location approach is based on the difference between sensor information if sensor is present and information calculated by linear interpolation if sensor is not present. The tasks results define the optimal sensors locations for a given number of sensors. The results of chosen sensors locations give as close as possible repeating the curve of structure dynamic response function. The proposed approach is implemented in an algorithm for predictive maintenance and the numerical results indicate that together with intelligent signal processing it could be suitable for practical application.
Źródło:
International Journal of Electronics and Telecommunications; 2012, 58, 2; 153-158
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Niedotlenienie guza jako czynnik predykcyjny w radioterapii onkologicznej
Tumour hypoxia as a predictive factor for radiotherapy
Autorzy:
Martenka, Piotr
Roszak, Andrzej
Powiązania:
https://bibliotekanauki.pl/articles/908212.pdf
Data publikacji:
2006
Wydawca:
Medical Communications
Tematy:
anemia
cervix carcinoma
hypoxia
predictive assay
radiotherapy
Opis:
Radiotherapy is, next to surgery, the basic method of treatment in oncology. The intensive searching of the predictive factors for radiotherapy effectiveness, are still continuing. The mechanism of radiotherapy action depends on the cellular oxygen presence. The latest studies evidence, that the molecular oxygen, through the mechanism of fixation, leads to destruction of the DNA damage, caused by the ionizing radiation, repair. Number of studies has demonstrated, that the tumour hypoxia evaluation correlates with radiotherapy effectiveness. However, the universal method assessing the tumour hypoxia does not exist. Actually used methods, as Eppendorf’s electrode, the molecular markers of hypoxia evaluation, or PET studies with oxydo-reductive radiopharmaceutical agents, bring conflicting results. So, a lot of doubts about the quantitative and qualitative character of relationship between hypoxia and sensitivity for radiotherapy still exist. Moreover, the analysis is impeded by fact, that the hypoxia has significant negative prognostic influence on the treatment results with radiotherapy, through the genome and proteomic changes induction. The paper presents the actual status of knowledge about the influence of tumour hypoxia on radiotherapy effectiveness.
Radioterapia jest obok chirurgii podstawową metodą leczenia nowotworów. Trwają obecnie intensywne poszukiwania czynników predykcyjnych dla skuteczności radioterapii. Mechanizm działania radioterapii zależny jest od obecności tlenu w komórce. Najnowsze doświadczenia dowodzą, że tlen cząsteczkowy poprzez mechanizm fiksacji zaburza naprawę uszkodzeń wywołanych w DNA promieniowaniem jonizującym. Liczne badania wykazały, że ocena niedotlenienia guza koreluje z wynikiem radioterapii. Brak jednak uniwersalnej metody oceniającej hipoksję. Aktualnie stosowane metody, jak pomiar elektrodą Eppendorfa, ocena markerów molekularnych hipoksji czy badania PET z użyciem oksydoredukcyjnych radiofarmaceutyków dostarczają sprzecznych wyników. Istnieje więc wiele wątpliwości co do ilościowego i jakościowego charakteru zależności między niedotlenieniem a wrażliwością na radioterapię. Ponadto analizę utrudnia fakt, że niedotlenienie wywiera znaczny negatywny prognostyczny wpływ na wyniki leczenia radioterapią poprzez indukcję zmian genomowych i proteomicznych. W pracy przedstawiono aktualny stan wiedzy na temat wpływu niedotlenienia guza na skuteczność radioterapii.
Źródło:
Ginekologia Onkologiczna; 2006, 4, 2; 99-107
1731-5379
Pojawia się w:
Ginekologia Onkologiczna
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Extension of first order predictive functional controllers to handle higher order internal models
Autorzy:
Khadir, M. T.
Ringwood, J. V.
Powiązania:
https://bibliotekanauki.pl/articles/907939.pdf
Data publikacji:
2008
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
sterowanie predykcyjne
system fazowy
system oscylacyjny
model predictive control
predictive functional control
non-minimum-phase systems
oscillatory systems
Opis:
Predictive Functional Control (PFC), belonging to the family of predictive control techniques, has been demonstrated as a powerful algorithm for controlling process plants. The input/output PFC formulation has been a particularly attractive paradigm for industrial processes, with a combination of simplicity and effectiveness. Though its use of a lag plus delay ARX/ARMAX model is justified in many applications, there exists a range of process types which may present difficulties, leading to chattering and/or instability. In this paper, instability of first order PFC is addressed, and solutions to handle higher order and difficult systems are proposed. The input/output PFC formulation is extended to cover the cases of internal models with zero and/or higher order pole dynamics in an ARX/ARMAX form, via a parallel and cascaded model decomposition. Finally, a generic form of PFC, based on elementary outputs, is proposed to handle a wider range of higher order oscillatory and non-minimum phase systems. The range of solutions presented are supported by appropriate examples.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2008, 18, 2; 229-239
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Dynamic Algorithm for Linear Quadratic Gaussian Predictive Control
Autorzy:
Ordys, A. W.
Hangstrup, M. E.
Grimble, M. J.
Powiązania:
https://bibliotekanauki.pl/articles/911167.pdf
Data publikacji:
2000
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
przestrzeń fazowa
sterowanie wielowymiarowe
sterowanie predykcyjne
state-space design
multivariable control
linear quadratic Gaussian predictive control
generalized predictive control
Opis:
In this paper, the optimal control law is derived for a multi-variable state-space Linear Quadratic Gaussian Predictive Controller (LQGPC). A dynamic performance index is utilized resulting in an optimal steady-state controller. Knowledge of future reference values is incorporated into the controller design and the solution is derived using the method of Lagrange multipliers. It is shown how the well-known GPC controller can be obtained as a special case of the LQGPC controller design. The important advantage of using the LQGPC framework for designing predictive controllers is that, based on stabilizing properties of LQG control, it enables a systematic approach to selection of the design parameters to yield a stable closed-loop system. The system model considered in this paper can be further extended toalso include direct feed-through and knowledge about future external inputs.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2000, 10, 2; 227-244
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Nowe rozwiązania inteligentnych maszyn dla górnictwa
New solutions of intelligent machines for the mining industry
Autorzy:
Winkler, T.
Drwięga, A.
Powiązania:
https://bibliotekanauki.pl/articles/199574.pdf
Data publikacji:
2015
Wydawca:
Instytut Techniki Górniczej KOMAG
Tematy:
Information Technology (IT)
Predictive Maintenance
kombajn ścianowy
przenośnik zgrzebłowy
Information technology (IT)
predictive maintenance
longwall shearer
flight-bar conveyors
Opis:
W artykule zaprezentowano przykładowe rozwiązania konstrukcyjne i organizacyjne opracowane w Instytucie Techniki Górniczej KOMAG wykorzystujące metody i narzędzia objęte wspólną nazwą Information Technology (IT). Przedstawiono przykładowe maszyny i urządzenia, których praca jest kontrolowana i nadzorowana przez zaawansowane systemy mechatroniczne, takie jak kombajn ścianowy KSW-800NE i przenośnik zgrzebłowy.
Examples of design and organizational solutions developed at the KOMAG Institute of Mining Technology, which use the Information Technology (IT) methods and tools, are given. Examples of machines and devices such as KSW-800NE longwall shearer and flight-bar conveyor, operation of which is controlled by advanced mechatronic systems, are presented.
Źródło:
Maszyny Górnicze; 2015, 33, 3; 15-21
0209-3693
2450-9442
Pojawia się w:
Maszyny Górnicze
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Strategic Planning for the Development of Ukrainian Agriculture in the Face of Climate Change
Autorzy:
Anna, Ostapenko
Powiązania:
https://bibliotekanauki.pl/articles/633058.pdf
Data publikacji:
2016-06-01
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
strategic planning
agriculture
climate change
predictive model
Ukraine
Opis:
The essence of the “strategic planning” is explored and the peculiarities of strategic planning in the agricultural sector are defined. Global climate change as a factor stimulating the formation of new approaches to strategic planning of agricultural development is considered, and the impact of climate change on the agricultural sector of Ukraine is evaluated. A predictive model of changes in the parameters of agricultural production under expected climate change conditions is constructed, and organizational, socio-economical and environmental components of the strategy of agricultural development are outlined and the conceptual bases for improvement of strategic planning for the development of the agricultural sector in the face of climate change are substantiated.
Źródło:
Comparative Economic Research. Central and Eastern Europe; 2016, 19, 2; 43-55
1508-2008
2082-6737
Pojawia się w:
Comparative Economic Research. Central and Eastern Europe
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Adaptive neurofuzzy predictive control of nuclear steam generators
Autorzy:
Ahmad, Z.
Powiązania:
https://bibliotekanauki.pl/articles/146920.pdf
Data publikacji:
2013
Wydawca:
Instytut Chemii i Techniki Jądrowej
Tematy:
neurofuzzy model
predictive control
U-tube steam generator
Opis:
The main emphasis of this paper is the application of adaptive neurofuzzy model-based predictive control, to regulate the water level in the U-tube steam generating (UTSG) unit used for electricity generation. A nonlinear predictive controller is designed on the basis of a Takagi-Sugeno fuzzy model with B-spline membership function. By on-line adaptation of the neurofuzzy model, improvement of the control performance can be achieved with the time-variant process behaviour. For this purpose, a normalized least-square algorithm is utilized which exploits the local linearity of Takagi-Sugeno fuzzy models. An optimization approach with a quadratic programing technique is used to calculate predictions of the future control actions. The effectiveness and real-world applicability of the proposed approach are demonstrated by computer simulation. The control experiments were successfully conducted for this nonlinear process with satisfactory results and performances.
Źródło:
Nukleonika; 2013, 58, 2; 301-306
0029-5922
1508-5791
Pojawia się w:
Nukleonika
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Grid Voltages Sensorless Control of the PWM Rectifier with Active Filtering
Autorzy:
Wojciechowski, D.
Powiązania:
https://bibliotekanauki.pl/articles/262568.pdf
Data publikacji:
2006
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie
Tematy:
active filters
power quality
predictive control
estimation
techniques
Opis:
The paper presents structure and experimental results of the control system of the PWM rectifier with active filtering function. Proposed control system was designed for maximum filtering performance in steady state. This task is realized by predictive algorithms applied for both control as well as calculation of grid currents. Accuracy of these algorithms strongly depends on precise information about future samples of equivalent electromotive force of the grid, which is in general distorted and unbalanced. For this purpose, a novel estimator and predictor is proposed. The control of DC voltage is realized with application of variable gain PI controller. It ensures high dynamics in transient states and low gain for steady state oscillations of DC voltage. Proposed control system is AC voltages sensor less and has excellent active filtering performance, even at presence of grid voltage distortions.
Źródło:
Electrical Power Quality and Utilisation. Journal; 2006, 12, 1; 35-43
1896-4672
Pojawia się w:
Electrical Power Quality and Utilisation. Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A data-driven predictive maintenance strategy based on accurate failure prognostics
Autorzy:
Chen, Chuang
Wang, Cunsong
Lu, Ningyun
Jiang, Bin
Xing, Yin
Powiązania:
https://bibliotekanauki.pl/articles/1841691.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
predictive maintenance
failure prognostics
performance degradation
maintenance cost
Opis:
Maintenance is fundamental to ensure the safety, reliability and availability of engineering systems, and predictive maintenance is the leading one in maintenance technology. This paper aims to develop a novel data-driven predictive maintenance strategy that can make appropriate maintenance decisions for repairable complex engineering systems. The proposed strategy includes degradation feature selection and degradation prognostic modeling modules to achieve accurate failure prognostics. For maintenance decision-making, the perfect time for taking maintenance activities is determined by evaluating the maintenance cost online that has taken into account of the failure prognostic results of performance degradation. The feasibility and effectiveness of the proposed strategy is confirmed using the NASA data set of aero-engines. Results show that the proposed strategy outperforms the two benchmark maintenance strategies: classical periodic maintenance and emerging dynamic predictive maintenance.
Źródło:
Eksploatacja i Niezawodność; 2021, 23, 2; 387-394
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Machine Tool Control with Additional Measurement for Increasing the Control System Dynamics
Autorzy:
Strakoš, P.
Valášek, M.
Powiązania:
https://bibliotekanauki.pl/articles/971176.pdf
Data publikacji:
2009
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
machine tool
additional measurement
predictive control
Kalman filter
Opis:
As a typical type of controller in the area of machine tools the classical cascade controller is used. It consists of several PI control loops and allows the position control of the machine tool. This type of controller is easy to be implemented and gives satisfactory results but only in the case that the sufficiently stiff machine tool is being controlled. If adverse is true the performance of the controller deteriorates. This is due to the fact, that the controller is limited by the structural properties of the machine tool. The bandwidth of the controller is restricted by the position of the first anti-resonant frequency of the machine tool. The control techniques overcoming this limitation have been extensively researched. As a result the control technique employing the additional measurement of TCP, the model-based predictive control and the Kalman filter is used and delivers the increased control system dynamics. The paper deals with the description of the proposed control concept and the practical methods for additional measurement together with the Kalman filter tuning are described. The evaluation of the proposed control concept is based on the experimentally measured data on the machine tool axis with significant flexibility.
Źródło:
Journal of Machine Engineering; 2009, 9, 3; 5-16
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Long-horizon model predictive control of induction motor drive
Autorzy:
Wróbel, Karol Tomasz
Szabat, Krzysztof
Serkies, Piotr
Powiązania:
https://bibliotekanauki.pl/articles/140624.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
model predictive control
long horizon
induction motor drive
Opis:
This paper investigates the application of a novel Model Predictive Control struc- ture for the drive system with an induction motor. The proposed controller has a cascade-free structure that consists of a vector of electromagnetics (torque, flux) and mechanical (speed) states of the system. The long-horizon version of the MPC is investigated in the paper. In order to reduce the computational complexity of the algorithm, an explicit version is applied. The influence of different factors (length of the control and predictive horizon, values of weights) on the performance of the drive system is investigated. The effectiveness of the proposed approach is validated by some experimental tests.
Źródło:
Archives of Electrical Engineering; 2019, 68, 3; 579-593
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The number of clusters in hybrid predictive models: does it really matter?
Autorzy:
Łapczyński, Mariusz
Jefmański, Bartłomiej
Powiązania:
https://bibliotekanauki.pl/articles/1046637.pdf
Data publikacji:
2020
Wydawca:
Główny Urząd Statystyczny
Tematy:
hybrid predictive model
k-means algorithm
decision trees
Opis:
For quite a long time, research studies have attempted to combine various analytical tools to build predictive models. It is possible to combine tools of the same type (ensemble models, committees) or tools of different types (hybrid models). Hybrid models are used in such areas as customer relationship management (CRM), web usage mining, medical sciences, petroleum geology and anomaly detection in computer networks. Our hybrid model was created as a sequential combination of a cluster analysis and decision trees. In the first step of the procedure, objects were grouped into clusters using the k-means algorithm. The second step involved building a decision tree model with a new independent variable that indicated which cluster the objects belonged to. The analysis was based on 14 data sets collected from publicly accessible repositories. The performance of the models was assessed with the use of measures derived from the confusion matrix, including the accuracy, precision, recall, F-measure, and the lift in the first and second decile. We tried to find a relationship between the number of clusters and the quality of hybrid predictive models. According to our knowledge, similar studies have not been conducted yet. Our research demonstrates that in some cases building hybrid models can improve the performance of predictive models. It turned out that the models with the highest performance measures require building a relatively large number of clusters (from 9 to 15).
Źródło:
Przegląd Statystyczny; 2019, 66, 3; 228-238
0033-2372
Pojawia się w:
Przegląd Statystyczny
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Mass Violence Detection Using Data Mining Techniques
Autorzy:
Varma, Rishabh
Ahmad, Sartaj
Powiązania:
https://bibliotekanauki.pl/articles/1159845.pdf
Data publikacji:
2018
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:
Data mining
Predictive model
Text mining
Tweet analysis
Opis:
The world is now witnessing a tectonic shift in the way in which people react to social and economic impacts such as rise in fossil fuel prices, implication of new rules and regulations, and other situations which directly affect the emotions of a certain group of people. Violence is the most widely used way of expressing anger and discontent for a particular situation which might have occurred. Such actions can cause loss of millions of dollars and precious lives of people who come in way of such protests. These protests are mainly conducted through social media platforms such as twitter as it is not possible to personally communicate to tens of thousand people to accumulate at a certain place, therefore it is extremely important as well as necessary to keep an eye on the social media statuses and updates of people in the times of crisis and heavy tension. This paper aims to collect the tweets of people uploaded on twitter and then process them to find out the location, time and intensity of the mass violence so that the responsible authorities can handle the situation and prevent violence.
Źródło:
World Scientific News; 2018, 113; 218-225
2392-2192
Pojawia się w:
World Scientific News
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
PREDICT project: PREparing for the Domino effect In Crisis siTuations
Autorzy:
Barbarin, B.
Dominique, S.
Powiązania:
https://bibliotekanauki.pl/articles/2069296.pdf
Data publikacji:
2015
Wydawca:
Uniwersytet Morski w Gdyni. Polskie Towarzystwo Bezpieczeństwa i Niezawodności
Tematy:
predictive tool
decision support system
critical infrastructure
modelling
Opis:
The PREDICT project aims at delivering a comprehensive solution (PREDICT Suite) for dealing with cascading effects in multi-sectorial crisis situations covering aspects of critical infrastructures. The PREDICT solution based on the three following pillars: methodologies, models and software tools, will increase the awareness and understanding of cascading effects in crisis situations. Two types of tools that will be coupled together are being developed: a decision support system and a foresight and prediction tool. Three test cases are being elaborated in three different location across Europe to validate the PREDICT suite. The decision makers will benefit from the PREDICT Suite which will improve their capability to respond and enhancing their preparedness on domino effects.
Źródło:
Journal of Polish Safety and Reliability Association; 2015, 6, 3; 9--14
2084-5316
Pojawia się w:
Journal of Polish Safety and Reliability Association
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Hybrid position control technique of induction motor drive
Autorzy:
Júnior, A. B. S.
Diniz, E. C. de
Honório, D. A.
Barreto, L. H. S. C.
Reis, L. L. N. dos
Powiązania:
https://bibliotekanauki.pl/articles/206685.pdf
Data publikacji:
2013
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
vector control
predictive control
hybrid control
fuzzy logic
Opis:
This paper presents the study and implementation of a new vector control strategy using a hybrid control technique applied to the mechanical position loop aiming to obtain a system that acts in the fractional horsepower motor driver running at near zero frequency. For this purpose, some control techniques are employed to check which one has the best performance regarding this type of application. The use of three control techniques is considered: the Proportional-Integral-Derivative (PID) controller with fixed gain; the Generalized Predictive Control (GPC) controller; and a hybrid controller. The last one behaves as both PID and GPC using fuzzy logic in order to achieve improved system performance. Simulation and experimental results are shown and discussed to demonstrate the merits of the proposed approach.
Źródło:
Control and Cybernetics; 2013, 42, 4; 754-772
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Algorytm regulacji DMC z pomiarem wartości wielkości sterującej
DMC Control Algorithm with Control Signal
Autorzy:
Porzeziński, M.
Powiązania:
https://bibliotekanauki.pl/articles/152004.pdf
Data publikacji:
2003
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
regulacja predykcyjna
algorytm DMC
predictive control
DMC algorithm
Opis:
W artykule zaprezentowano prostą modyfikację algorytmu regulacji DMC (Dynamic Matrix Control). Podlega ona na uwzględnieniu w regulatorze rzeczywistej wartości sygnału sterującego bezpośrednio oddziaływujacego na obiekt. Przedstawiono specyficzne właściwości zmodyfikowanego algorytmu oraz obszar jego potencjalnych zastosowań.
In the article a simple modification of DMC control algorithm (Dynamic Matrix Control) is described. The modification is based on using a controller a real value of control signal directly affecting the plant. Special properties of modified algorithm and it`s possible application area are presented.
Źródło:
Pomiary Automatyka Kontrola; 2003, R. 49, nr 12, 12; 32-33
0032-4140
Pojawia się w:
Pomiary Automatyka Kontrola
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Utrzymanie predykcyjne w transporcie kolejowym
Predictive maintenance in railway transportation
Autorzy:
Kornaszewski, M.
Kałuża, S.
Powiązania:
https://bibliotekanauki.pl/articles/316593.pdf
Data publikacji:
2017
Wydawca:
Instytut Naukowo-Wydawniczy "SPATIUM"
Tematy:
transport kolejowy
utrzymanie predykcyjne
railway transport
predictive maintenance
Opis:
W artykule omówione zostało nowoczesne zarządzanie strategią utrzymania pojazdów kolejowych. Przedstawiono główne założenie idei predykcyjnego utrzymania, a także możliwość jego zastosowania w dziedzinie transportu kolejowego.
Paper discussed the modern management of maintenance strategies for rail vehicles. It presents the main assumption of the idea of predictive maintenance and possibility of its application in the field of railway transportation.
Źródło:
Autobusy : technika, eksploatacja, systemy transportowe; 2017, 18, 6; 1208-1210, CD
1509-5878
2450-7725
Pojawia się w:
Autobusy : technika, eksploatacja, systemy transportowe
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A comparision of model and signal based condition monitoring and mode separation for predictive maintenance of feed drives
Autorzy:
Maier, D.
Heisel, U.
Powiązania:
https://bibliotekanauki.pl/articles/100055.pdf
Data publikacji:
2011
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
mode separation
condition monitoring
ball screw drive
predictive maintenance
Opis:
Modern production strategies increase the demand for closer monitoring of the machine's condition. Especially wear affects its condition. This paper deals with the methodology of condition monitoring that can be based on different sources of data such as controller NC CNC and additional sensors. Two main methods for assessment are signal analysis based exclusively on measurement data and a model based method The latter is based on comparing the simulation of the objects behaviour with the acquired data. Ball screw drives are key elements of machine tools. They considerably contribute to the machine's performance. The paper compares two signal-based wear inducing characteristics and discusses the results. Afterwards a model-based approach is discussed.
Źródło:
Journal of Machine Engineering; 2011, 11, 4; 138-151
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Prevention of Landslides Using the Analytic Hierarchy Process (AHP) in a Geographic Information System (GIS) Environment in the Province of Larache, Morocco
Autorzy:
El Hamdouni, Ikram
Ait Brahim, Lahsen
El Mahsani, Abderahman
Abdelouafi, Abdellah
Powiązania:
https://bibliotekanauki.pl/articles/2055772.pdf
Data publikacji:
2022
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
landslides
heuristic approach
analytic hierarchy process (AHP)
predictive parameters
Opis:
Landslides are one of the natural hazards that many countries around the world are facing. In Morocco, the Rif regions are the most affected by these phenomena. Each year they cause enormous damage to the road network and infrastructure, especially in our study region, the province of Larache. The study region is subject to several opening up and road construction projects, which is why it is necessary to predict and identify the most vulnerable areas beforehand, in order to propose measures and techniques which are adequate for protection and reinforcement. The main goal of this study is to develop a susceptibility map to ground movements using a multi-criteria spatial assessment approach, and in order to reduce subjectivity, we have used a method for analyzing such complex decisions, which is the analytic hierarchy process (AHP) implemented in the geographic information system (GIS). Seven factors have been considered as conditioning factors in the occurrence of landslides, which are: lithology, fracturing density, slope, aspect, land use, density of the hydrographic network, and altitude. To verify the results obtained, we performed a correlation analysis of ground movements, already inventoried and verified in the field, with the susceptibility classes that were calculated. This analysis is accompanied by a statistical study.
Źródło:
Geomatics and Environmental Engineering; 2022, 16, 2; 77-93
1898-1135
Pojawia się w:
Geomatics and Environmental Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Generic algorithms for predictive refillment scheduling in SCM-systems of large retail companies
Autorzy:
TSEPELEV, D.
SALEH, HADI
Powiązania:
https://bibliotekanauki.pl/articles/457302.pdf
Data publikacji:
2016
Wydawca:
Uniwersytet Rzeszowski
Tematy:
supply chain management
refillment planning
predictive refillment scheduling algorithm
Opis:
The article contains a description of generic predictive refillment scheduling algorithm.
Źródło:
Edukacja-Technika-Informatyka; 2016, 7, 2; 245-248
2080-9069
Pojawia się w:
Edukacja-Technika-Informatyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
ON THE SELECTED METHODS FOR EVALUATING CLASSIFICATION MODELS
Autorzy:
Misztal, Małgorzata
Powiązania:
https://bibliotekanauki.pl/articles/655797.pdf
Data publikacji:
2014
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
classifier performance
predictive ability
ROC curve
reclassification
decision curve
Opis:
Traditional measures for assessing the performance of classification models for binary outcomes are the ROC curve and the area under the ROC curve (AUC). Reclassification tables (Cook, 2008), net reclassification improvement (NRI) and integrated discrimination improvement (IDI) (Pencina et al., 2008) or decision – analytic measures with decision curve analysis (Vickers & Elkin, 2006) have been recently proposed for evaluating the predictive ability of classifiers. This paper analyzes the measures mentioned above with some credit taking application.  
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 2014, 3, 302
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Rule based networks : an efficient and interpretable representation of computational models
Autorzy:
Liu, H.
Gegov, A.
Cocea, M.
Powiązania:
https://bibliotekanauki.pl/articles/91698.pdf
Data publikacji:
2017
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
rule based networks
knowledge discovery
predictive modelling
rule representation
Opis:
Due to the vast and rapid increase in the size of data, data mining has been an increasingly important tool for the purpose of knowledge discovery to prevent the presence of rich data but poor knowledge. In this context, machine learning can be seen as a powerful approach to achieve intelligent data mining. In practice, machine learning is also an intelligent approach for predictive modelling. Rule learning methods, a special type of machine learning methods, can be used to build a rule based system as a special type of expert systems for both knowledge discovery and predictive modelling. A rule based system may be represented through different structures. The techniques for representing rules are known as rule representation, which is significant for knowledge discovery in relation to the interpretability of the model, as well as for predictive modelling with regard to efficiency in predicting unseen instances. This paper justifies the significance of rule representation and presents several existing representation techniques. Two types of novel networked topologies for rule representation are developed against existing techniques. This paper also includes complexity analysis of the networked topologies in order to show their advantages comparing with the existing techniques in terms of model interpretability and computational efficiency.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2017, 7, 2; 111-123
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Evacuation by leader-follower model with bounded confidence and predictive mechanisms
Autorzy:
Almeida, Ricardo
Girejko, Ewa
Machado, Luis
Malinowska, Agnieszka B.
Martins, Natália
Powiązania:
https://bibliotekanauki.pl/articles/1845516.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
multi-agent systems
emergency
model predictive control
bounded confidence
Opis:
This paper studies an evacuation problem described by a leader-follower model with bounded confidence under predictive mechanisms. We design a control strategy in such a way that agents are guided by a leader, which follows the evacuation path. The proposed evacuation algorithm is based on Model Predictive Control (MPC) that uses the current and the past information of the system to predict future agents’ behaviors. It can be observed that, with MPC method, the leader-following consensus is obtained faster in comparison to the conventional optimal control technique. The effectiveness of the developed MPC evacuation algorithm with respect to different parameters and different time domains is illustrated by numerical examples.
Źródło:
Archives of Control Sciences; 2021, 31, 3; 629-644
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Evacuation by leader-follower model with bounded confidence and predictive mechanisms
Autorzy:
Almeida, Ricardo
Girejko, Ewa
Machado, Luis
Malinowska, Agnieszka B.
Martins, Natália
Powiązania:
https://bibliotekanauki.pl/articles/1845527.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
multi-agent systems
emergency
model predictive control
bounded confidence
Opis:
This paper studies an evacuation problem described by a leader-follower model with bounded confidence under predictive mechanisms. We design a control strategy in such a way that agents are guided by a leader, which follows the evacuation path. The proposed evacuation algorithm is based on Model Predictive Control (MPC) that uses the current and the past information of the system to predict future agents’ behaviors. It can be observed that, with MPC method, the leader-following consensus is obtained faster in comparison to the conventional optimal control technique. The effectiveness of the developed MPC evacuation algorithm with respect to different parameters and different time domains is illustrated by numerical examples.
Źródło:
Archives of Control Sciences; 2021, 31, 3; 629-644
1230-2384
Pojawia się w:
Archives of Control Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Investigating an outbreak of non-specific building-related symptoms in workers of a general hospital
Autorzy:
Gómez-Acebo, Inés
Dierssen-Sotos, Trinidad
Pérez-Belmonte, Elena
Llorca, Javier
Powiązania:
https://bibliotekanauki.pl/articles/2179130.pdf
Data publikacji:
2013-08-01
Wydawca:
Instytut Medycyny Pracy im. prof. dra Jerzego Nofera w Łodzi
Tematy:
sick building syndrome
cluster analysis
healthcare workers
Predictive Model
Opis:
Objective:To obtain a case definition and to describe variables associated with a cluster of unspecific symptoms in healthcare workers (HCW) in a hospital building. Materials and Methods: A cross-sectional study was performed. All people working at the Residencia Cantabria building (a 200-bed building belonging to University Hospital Marqués de Valdecilla) in June 2009 were invited to complete a self-administered questionnaire, including questions on demographic data, working place and shift, working conditions and current symptoms. A cluster analysis was developed to obtain the case definition. The strength of the association between the studied variables and accomplishing the case definition was measured using odds ratios (OR) with the 95% confidence interval (CI). Multiple logistic regression was used to obtain a predictive model; its general validity was estimated with Receiver Operating Curves (ROC) and their Area Under the Curve (AUC). Results: 357 completed questionnaires were obtained. The case was defined as having at least 5 symptoms out of the eleven included. Not being ascribed to a specific shift was the strongest protective variable related with "being a case" (OR = 0.30; 95% CI: 0.17-0.54), whereas the personal antecedent of distal pain or inflammation in arms or legs was the main risk factor (OR = 4.33, 95% CI: 2.75-6.82). A six-variable predictive model has AUC equaling to 0.7378. Conclusions: A disease associated with the indoor environment quality in a hospital was characterized. A multivariate score was drafted for identifying HCW with higher risk of developing the disease in order to apply administrative prevention measures.
Źródło:
International Journal of Occupational Medicine and Environmental Health; 2013, 26, 4; 563-571
1232-1087
1896-494X
Pojawia się w:
International Journal of Occupational Medicine and Environmental Health
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Finite set model predictive speed control of induction motor with long horizon
Autorzy:
Wróbel, K.
Powiązania:
https://bibliotekanauki.pl/articles/1193210.pdf
Data publikacji:
2016
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
finite control set
predictive control
induction motor
speed control
Opis:
This paper presents predictive speed control of induction motor. The structure with finite control set and long prediction horizon is proposed. In methods with finite set of solutions there is assumed the use of signals that can be obtained in inverter only. Long prediction horizons allow better performance of predictive control structures to be achieved. In this case, long prediction horizon refers to systems with more than one prediction step. The weighting factors determine the properties of control structure via an optimization method using genetic algorithms. The results of simulation studies has been presented.
Źródło:
Power Electronics and Drives; 2016, 1, 36/1; 117-126
2451-0262
2543-4292
Pojawia się w:
Power Electronics and Drives
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The role of comprehensive income in predicting banks? future earnings based on the practice of banks listed on the Warsaw Stock Exchange
Autorzy:
Sajnóg, Artur
Powiązania:
https://bibliotekanauki.pl/articles/1833826.pdf
Data publikacji:
2017-09-30
Wydawca:
Instytut Badań Gospodarczych
Tematy:
comprehensive income
net income
financial reporting
predictive power
banks
Opis:
Research background: In the economic literature there are many arguments presented by critical supporters and opponents of measuring and reporting comprehensive income. There is a justified need to examine the relevance and usefulness of comprehensive income, especially the predictive power of comprehensive in-come for forecasting future earnings. It may be assumed that the comprehensive income has a better predictive power for future bank performance than net income, because this measure includes many elements, which were previously presented in the statement of changes in equity. Purpose of the article: The major subject of the theoretical-empirical study presented in this paper is the evaluation of the usefulness of comprehensive income for predicting banks? future earnings. Realization of the fundamental objective of this paper was centered around the main research hypothesis, stating that in economic practice of banks listed on the Warsaw Stock Exchange it can be assumed that there is a positive predictive power of financial result in forecasting financial standing of these entities. Methods: The research comprised bank joint-stock companies listed on the Warsaw Stock Exchange (qualified on 15.09.2016). Empirical data for the study was obtained from the quarterly financial statements (the period from 2009 to 2015) from EMIS. The problem was realized in two analytical dimensions: absolute dimension financial results, and a relative dimension (return ratios). The research method was the regression analysis conducted by means of Spearman?s rank correlation coefficient and by two regression models in two versions. Findings & value added: The research showed that the analyzed bank companies were characterized by a diversity usefulness of comprehensive income for predicting banks? future earnings. Nevertheless, it must be stressed that the calculated Spearman?s rank correlation coefficients confirm in most instances a positive character of dependence between the comprehensive income and future return ratios. The results of the estimation of econometric models shows the positive association of comprehensive income with future profitability of banks.
Źródło:
Equilibrium. Quarterly Journal of Economics and Economic Policy; 2017, 12, 3
1689-765X
2353-3293
Pojawia się w:
Equilibrium. Quarterly Journal of Economics and Economic Policy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Examination of Seasonal Volatility in HICP for Baltic Region Countries: Non-Parametric Test versus Forecasting Experiment
Autorzy:
Lenart, Łukasz
Powiązania:
https://bibliotekanauki.pl/articles/2076445.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
HICP
seasonal volatility
exponential smoothing
nowcasting
predictive distribution
logscore
Opis:
The aim of this paper is to examine the problem of existing seasonal volatility in total and disaggregated HICP for Baltic Region countries (Denmark, Estonia, Latvia, Finland, Germany, Lithuania, Poland and Sweden). Using nonparametric tests, we found that in the case of m-o-m prices, including fruit, vegetables, and total HICP, the homogeneity of variance during seasons is rejected. Based on these findings, we propose an exponential smoothing model with periodic variance of error terms that capture the repetitive seasonal variation (in conditional or unconditional second moments). In a pseudo-real data experiment, the short-term forecasts (nowcasting) for the considered components of inflation were determined using different specifications of considered models. The forecasting performance of the models was measured using one of the scoring rules for probabilistic forecasts called logarithmic score. We found instead that while the periodic phenomenon in variance was statistically significant, the models with a periodic phenomenon in variance of error terms do not significantly improve forecasting performance in disaggregated cases and in the case of total HICP. The simpler models with constant variance of error term have comparative forecasting (nowcasting) performance over the alternative model
Źródło:
Central European Journal of Economic Modelling and Econometrics; 2017, 1; 29-67
2080-0886
2080-119X
Pojawia się w:
Central European Journal of Economic Modelling and Econometrics
Dostawca treści:
Biblioteka Nauki
Artykuł
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