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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
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