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Tytuł:
Numerical prediction of the effects of miniature channel shaped scratches on the fracture behaviour of wires for civil engineering applications using finite element analysis
Autorzy:
Adewole, K. K.
Bull, S. J.
Powiązania:
https://bibliotekanauki.pl/articles/231418.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
drut
analiza awarii
analiza elementów skończonych
pękanie
zarysowanie
wire
failure analysis
finite element analysis
fracture analysis
scratch
Opis:
The effects of the miniature channel-shaped scratches not detectable by the present inline electromagnetic defect detection system employed for wires’ surface defect detection on the fracture behaviour of the wires for civil engineering applications were investigated numerically. Finite element analysis revealed that both miniature channel-shaped across-the-thickness and across-the-width scratches change the fracture behaviour of the wires in terms of the fracture initiation locations and fracture process sequence. However, miniature across-the-thickness scratches does not affect the fracture shape of the wire while miniature across-the-width scratches changed the wires’ cup and cone fracture to a fracture shape with a predominantly flat fracture. These results provide an understanding of the fracture behaviour of wires with miniature scratches and serve as an alternative or a complimentary tools to experimental or fractographic failure analysis of wires with miniatures scratches which are difficult to carry out in the laboratory due to the sizes of the scratches.
Źródło:
Archives of Civil Engineering; 2014, 60, 2; 181-194
1230-2945
Pojawia się w:
Archives of Civil Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Prediction of the failure mechanism of arches under base motion using DEM based on the NSCD method
Przewidywanie mechanizmów awarii łuków spowodowanych ruchami podłoża za pomocą metody elementów dyskretnych z wykorzystaniem metody NSCD
Autorzy:
Albuerne, A.
Williams, M.
Lawson, V.
Powiązania:
https://bibliotekanauki.pl/articles/218493.pdf
Data publikacji:
2013
Wydawca:
Stowarzyszenie Konserwatorów Zabytków
Opis:
Many historic structures are located in regions of significant seismic activity and are vulnerable to earthquake damage. To assess the safety of these structures, an understanding of the seismic performance of key elements such as masonry arches, vaults and domes is vital. While static stability of masonry arches can be studied analytically using the principles of limit analysis, numerical methods are needed to deal with more complex geometries and/or dynamic load cases. A promising numerical approach is the Discrete Element Method (DEM). Currently, DEM codes are rather specialised research tools, and further development and validation are needed to confirm their suitability. In this paper, the DEM code LMGC90 is used to analyse the responses of arches subjected to dynamic base motions, with the results compared to shaking table experiments on arches built from wooden voussoirs. It is shown that the code is able to model the sequence of hinge openings and the final collapse mechanism extremely well. However, the numerical simulations overestimate the base acceleration amplitudes required to cause collapse. This is thought to be due to the impossibility of modelling the exact experimental set-up, which is substantially affected by small imperfections in the contacts between adjacent voussoirs. The resultant error is found to be quite consistent between tests, and has been compensated by a simple calibration of the experimental models. Future work will seek improved methods of dealing with this issue, and extension of the DEM approach to arches and vaults made of concrete-like materials, with non-zero tensile strength.
Wiele zabytkowych struktur znajdują się w regionach o znacznej aktywności sejsmicznej jest podatnych na uszkodzenia podczas trzęsienia ziemi . Do oceny bezpieczeństwa tych struktur konieczne jest wykonanie kluczowych elementów , takich jak łuki sklepienia. Podczas gdy statyczną stabilność łuków murowych można badać analitycznie wykorzystujący zasady analizy limitu, w bardziej złożonych kształtach i / lub przypadkach stosuje się obliczania dynamicznego obciążenia. Obiecujące podejście numeryczne to Discrete Element Method (DEM) .
Źródło:
Wiadomości Konserwatorskie; 2013, 34; 41-47
0860-2395
2544-8870
Pojawia się w:
Wiadomości Konserwatorskie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Prediction of the crash vehicle using machine learning methods
Metody uczenia maszynowego w przewidywaniach awarii pojazdu
Autorzy:
Aleksander, M. B.
Janisz, K.
Karpinski, M.
Yavorskyi, A.
Yavorska, N.
Powiązania:
https://bibliotekanauki.pl/articles/315524.pdf
Data publikacji:
2016
Wydawca:
Instytut Naukowo-Wydawniczy "SPATIUM"
Tematy:
failure of the vehicle
data analysis
sensors
awaria pojazdu
analiza danych
czujniki
Opis:
The article refers to the prediction of failure of the vehicle based on an analysis of data from sensors installed on the vehicle.
Artykuł dotyczy przewidywania awarii pojazdu na podstawie analizy danych z czujników zainstalowanych w pojeździe.
Źródło:
Autobusy : technika, eksploatacja, systemy transportowe; 2016, 17, 6; 734-739
1509-5878
2450-7725
Pojawia się w:
Autobusy : technika, eksploatacja, systemy transportowe
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Adaptation of engineering FEA-based algorithms to LCF failure and material data prediction in offshore design
Autorzy:
Augustyniak, M.
Gajewski, P.
Świątek, K.
Powiązania:
https://bibliotekanauki.pl/articles/279187.pdf
Data publikacji:
2016
Wydawca:
Polskie Towarzystwo Mechaniki Teoretycznej i Stosowanej
Tematy:
low-cycle fatigue
finite element method
high-strength steel
stress gradient influence
Opis:
There is an ever growing industrial demand for quantitative assessment of fatigue endurance of critical structural details. Although FEA-based calculations have become a standard in engineering design, problems involving the Low-To-Medium cycle range (101 -104 ) remain challenging. This paper presents an attempt to optimally choose material data, meshing density and other algorithm settings in the context of recent design of the large offshore windfarm installation vessel, VIDAR. In this study, an attempt is made to assess default FEA-based procedures in RADIOSS software by comparing an experimental test against numerical analyses. Standard slender cylindrical (“I”) samples as well as originally designed “Z”-shaped samples made of A90 (S690)-grade steel have been loaded at various nominal stress ranges with or without local yielding. A good correlation has been found between FEA results and experimental cycles-to-failure in I-shaped samples, provided the software material data generator is avoided and Smith-Watson-Topper mean stress correction is used. In the case of Z-shaped samples, the calculated cycles-to-initiation of macro-crack is significantly lower (factor of 3) from the experiment. The observed discrepancy is argued to be due to stress gradient influence.
Źródło:
Journal of Theoretical and Applied Mechanics; 2016, 54, 4; 1345-1356
1429-2955
Pojawia się w:
Journal of Theoretical and Applied Mechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Possibility of failure prediction of electrical machines with permanent magnets by power signal monitoring - a test stand conception
Możliwości przewidywania uszkodzeń maszyn elektrycznych z magnesami trwałymi za pomocą analizy sygnałów własnych - koncepcja stanowiska badawczego
Autorzy:
Będkowski, B.
Powiązania:
https://bibliotekanauki.pl/articles/252140.pdf
Data publikacji:
2015
Wydawca:
Instytut Naukowo-Wydawniczy TTS
Tematy:
vibration
acoustic
magnets
wibracje
akustyka
magnes
Opis:
The paper presents a new vibration diagnostic method and conception of the test stand. This method is used for diagnose of permanent magnets (PM) rotating machines, especially generators. Specific structural properties of machines with permanent magnets are used in this solution - electromotive force (EMF) is generated due to vibrations of permanent magnets. Several issues are discussed in this article: the genesis of the method, the similarity of permanent magnets machines to vibration sensors, the conception of laboratory test stand on which these method will be develop, 3D test stand model strength and vibration numerical analysis. This method is the subject of patent application No P.40566.
W pracy przedstawiono nową metodę diagnostyczną uszkodzeń wirujących maszyn elektrycznych z magnesami trwałymi, oraz koncepcję stanowiska badawczego do jej weryfikacji. Metoda ta służy do diagnostyki maszyn z magnesami trwałymi (PM) za pomocą drgań, zwłaszcza generatorów. Wykorzystano w niej specyficzne właściwości konstrukcyjne maszyn z magnesami trwałymi, w których siła elektromotoryczna (SEM) generowana jest w wyniku drgań. W artykule omówiono: genezę metody, podobieństwo w budowie czujnika drgań i maszyny z magnesami trwałymi, koncepcję sta-nowiska do badań laboratoryjnych, na którym metoda ta będzie rozwijana, model 3D stanowiska laboratoryjnego z symulacjami numerycznymi jego wytrzymałości i sztywności. Metoda ta jest przedmiotem zgłoszenia patentowego nr P.40566.
Źródło:
TTS Technika Transportu Szynowego; 2015, 12; 2382-2385, CD
1232-3829
2543-5728
Pojawia się w:
TTS Technika Transportu Szynowego
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Prediction of mortality rates in heart failure patients with data mining methods
Autorzy:
Bohacik, J.
Kambhampati, C.
Davis, D. N.
Cleland, J. G. F.
Powiązania:
https://bibliotekanauki.pl/articles/908867.pdf
Data publikacji:
2013
Wydawca:
Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
Tematy:
heart failure
data mining
prediction of mortality rates
home telemonitoring
Bayesian network method
decision tree method
neural network method
nearest neighbour method
Opis:
Heart failure is one of the severe diseases which menace the human health and affect millions of people. Half of all patients diagnosed with heart failure die within four years. For the purpose of avoiding life-threatening situations and minimizing the costs, it is important to predict mortality rates of heart failure patients. As part of a HEIF-5 project, a data mining study was conducted aiming specifically at extracting new knowledge from a group of patients suffering from heart failure and using it for prediction of mortality rates. The methodology of knowledge discovery in databases is analyzed within the framework of home telemonitoring. Several data mining methods such as a Bayesian network method, a decision tree method, a neural network method and a nearest neighbour method are employed. The accuracy for the data mining methods from the point of view of avoiding life-threatening situations and minimizing the costs is discussed. It seems that the decision tree method achieves the best accuracy results and is also interpretable for the clinicians.
Źródło:
Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica; 2013, 13, 1; 7-16
1732-1360
2083-3628
Pojawia się w:
Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Diagnosing corporate stability using grammatical evolution
Autorzy:
Brabazon, A.
O'Neill, M.
Powiązania:
https://bibliotekanauki.pl/articles/907637.pdf
Data publikacji:
2004
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
ewolucja gramatyczna
prognozowanie awarii
mapowanie procesu
grammatical evolution
corporate failure prediction
mapping process
Opis:
Grammatical Evolution (GE) is a novel data-driven, model-induction tool, inspired by the biological gene-to-protein mapping process. This study provides an introduction to GE, and demonstrates the methodology by applying it to construct a series of models for the prediction of bankruptcy, employing information drawn from financial statements. Unlike prior studies in this domain, the raw financial information is not preprocessed into pre-determined financial ratios. Instead, the ratios to be incorporated into the classification rule are evolved from the raw financial data. This allows the creation and subsequent evolution of alternative ratio-based representations of the financial data. A sample of 178 publicly quoted, US firms, drawn from the period 1991 to 2000 are used to train and test the model. The best evolved model correctly classified 86 (77)% of the firms in the in-sample training set (out-of-sample validation set), one year prior to failure.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2004, 14, 3; 363-374
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Control and prediction protocol for bearing failure through spectral power density
Autorzy:
Castilla-Gutiérrez, Javier
Fortes, Juan Carlos
Davila, Jose Miguel
Powiązania:
https://bibliotekanauki.pl/articles/1841934.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
vibration
bearing
diagnostics
vibroacoustics
Opis:
This paper aims to analyse the results of the comparative study of the characteristic frequencies, in terms of Power Spectral Density (PSD), generated by an SKF6322 bearing in a rotational blower. Among all the analysed frequencies, we have focused on the ones generated by the shaft rotation speed, the one on the blades and the ones of the SKF6322 bearing, such as the tracks, the cage and the balls. For this study, we followed the ISO 10816 criteria, both in the sampling part and in the data analysis, using the speed values in terms of PSD, which improves the results in both high and low frequencies. This study can be used to predict the performance of bearings and their future failure, determining the most decisive frequency, the one with the highest incidence and the relative influence of each one on the different positions and monitoring coordinate axes. This procedure can be applied to improve the predictive maintenance protocol in order to improve the performance, efficiency and reliability of the equipment with bearings in their systems.
Źródło:
Eksploatacja i Niezawodność; 2020, 22, 4; 651-657
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Joint optimization of replacement and spare ordering for critical rotary component based on condition signal to date
Wspólna optymalizacja wymiany i zamawiania części zamiennych dla krytycznego komponentu obrotowego na podstawie dotychczasowego sygnału stanu
Autorzy:
Chen, X.
Xu, D.
Xiao, L.
Powiązania:
https://bibliotekanauki.pl/articles/301404.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
prognozowanie degradacji
degradation prediction
failure probability
condition-based replacement
spare part ordering
prawdopodobieństwo wystąpienia uszkodzenia
wymiana w oparciu o stan
zamawianie części zamiennych
Opis:
It is widely accepted that condition-based replacement can not only make full use of components, but also decline inventory cost if the procurement of spare parts can be triggered upon accurate failure prediction. Most of the existing degradation or failure prediction models and approaches are population-based failures or suspensions, namely, to predict the failure time of a component, there are some failure or suspension histories of same type or similar components which can be used as reference. However, in practice, there exists the phenomenon in which no failure or suspension histories for some components can be used, what can be utilized is just the collected condition monitoring signals to date. In that case, failure time and probability are difficult to be estimated accurately. In this paper, a novel degradation prediction approach is introduced. Meantime, a new failure probability estimation function is developed based on component “service time” and “degradation extent” simultaneously. Then replacement and spare part ordering are jointly optimized according to the estimated failure probability. The optimization objective is to minimize long-run cost rate. Two bearing datasets are used to validate the proposed approach.
Powszechnie przyjmuje się, że wymiana w oparciu o stan techniczny pozwala nie tylko na pełne wykorzystanie elementów składowych, ale także na zmniejszenie kosztów magazynowych (związanych z przechowywaniem zapasów) jeśli zamawianie części zamiennych da się powiązać z trafnym prognozowaniem uszkodzeń. Większość istniejących modeli i teorii predykcji degradacji lub uszkodzeń opiera się na danych populacyjnych o uszkodzeniach lub zawieszeniu pracy co oznacza, że czas uszkodzenia komponentu przewiduje się w odniesieniu do historii uszkodzeń lub zawieszeń pracy tego samego typu lub podobnego typu elementów składowych. Jednak w praktyce zdarza się, że dla niektórych komponentów nie istnieją historie uszkodzeń lub zawieszenia pracy, do których można by się odnieść; jedyne co można wykorzystać to zgromadzone dotychczas sygnały z monitorowania stanu. W takim przypadku, trudno jest ocenić dokładnie czas i prawdopodobieństwo wystąpienia uszkodzenia. W niniejszej pracy, przedstawiono nowatorskie podejście do przewidywania degradacji. Opracowano nową funkcję szacowania prawdopodobieństwa uszkodzenia opartą na jednoczesnym wykorzystaniu "czasu pracy" oraz "stopnia degradacji" komponentu. Następnie wspólnie zoptymalizowano procesy wymiany i zamawiania części zamiennych zgodnie z szacowanym prawdopodobieństwem wystąpienia uszkodzenia. Celem optymalizacji była minimalizacja długoterminowego wskaźnika kosztów . Poprawność proponowanego podejścia zweryfikowano z wykorzystaniem dwóch zbiorów danych dotyczących łożysk.
Źródło:
Eksploatacja i Niezawodność; 2017, 19, 1; 76-85
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Applying the Anticipatory Failure Determination at a Very Early Stage of a System’s Development: Overview and Case Study
Autorzy:
Chybowski, L.
Gawdzińska, K.
Souchkov, V.
Powiązania:
https://bibliotekanauki.pl/articles/2065020.pdf
Data publikacji:
2018
Wydawca:
STE GROUP
Tematy:
complex technical system
anticipatory failure determination
AFD
anticipatory failure analysis
AFA
failure prediction
Theory of Inventing Problem Solving
TRIZ
Opis:
Anticipatory Failure Determination (AFD) is a tool used in the TRIZ (Theory of Inventive Problem Solving) methodology. This article introduces its concept and describes the process of AFD in different versions of the method. The article presents the application of the AFD method at a very early state of a system’s development, i.e. its concept formulation stage, which corresponds to a technology readiness level (TRL) equal to 2. The system under analysis is a set of devices used to reduce displacement ship hull resistance. The system was modelled using functional analysis. An analysis of system resources was then carried out. Possible direct, indirect, and accident-related failures were identified. A multi-criteria analysis of the causes of system failures was conducted from which the top 10 potential failures were selected. Observations were made on the applicability of AFD in respect to systems not yet implemented.
Źródło:
Multidisciplinary Aspects of Production Engineering; 2018, 1, 1; 205--215
2545-2827
Pojawia się w:
Multidisciplinary Aspects of Production Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Model based prediction of the crankshaft instantaneous angular speed fluctuations
Autorzy:
Dereszewski, M.
Charchalis, A.
Powiązania:
https://bibliotekanauki.pl/articles/247114.pdf
Data publikacji:
2013
Wydawca:
Instytut Techniczny Wojsk Lotniczych
Tematy:
diagnostics
marine diesel engine
angular speed modeling
failure symptoms
Opis:
The paper presents results of the calculation, based on simplified engine model, aimed on prediction of IAS (Instantaneous Angular Speed) of the crankshaft fluctuations under faulty engine condition. Gas forces were calculated basing on results of in-cylinder pressure measurements which were used as inputs to the dynamic model. Mass forces were calculated basing on technical particulars of the engine Sulzer 3Al 25/30.Measurements of the incylinder pressure was carried out at laboratory stand in Gdynia Maritime University, equipped with diesel engine Sulzer 3AL 25/30 driving electro-generator. Sulzer 3AL 25/30 is three cylinder, medium speed, four stroke marine diesel engine, with maximum output 408 kW at 750 rpm. In order to evaluate of IAS model utility for diagnostic prediction of the engine behavior, two kinds of malfunctions of engine’s fuel system were simulated. First malfunction was fuel leakage from high pressure line; the second was partly plugged injector’s nozzle. Construction of high pressure fuel pump enable to fuel leakage simulation. The engine was run out at load 250 kW what is around 65% of nominal. Results of all measurement were smoothed in order to eliminate a noise using SG (Savitzky – Golay) filter. Results of fault condition modeling were compared with healthy engine model and with results of in -cylinder pressure diagrams, in order to create a map of deviations from normal condition.
Źródło:
Journal of KONES; 2013, 20, 1; 55-61
1231-4005
2354-0133
Pojawia się w:
Journal of KONES
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Risk prediction for modern technological systems
Autorzy:
Duffey, R. B.
Saull, J. W.
Powiązania:
https://bibliotekanauki.pl/articles/2069620.pdf
Data publikacji:
2007
Wydawca:
Uniwersytet Morski w Gdyni. Polskie Towarzystwo Bezpieczeństwa i Niezawodności
Tematy:
technological systems
risk
outcome
failure
error
events
probability
Opis:
We have already examined the worldwide trends for outcomes (measured as accidents, errors and events) using data available for large complex technological systems with human involvement. That analysis was a dissection of the basic available, published data on real and measured risks, for trends and inter-comparisons of outcome rates. We found and showed how all the data agreed with the learning theory when the accumulated experience is accounted for. Here, learning includes both positive and negative feedback, directly or indirectly, as a result of prior outcomes or experience gained, in both the organizational and individual contexts. Our purpose here and now is to try to introduce some predictability and insight into the risk or occurrence of these apparently random events. In seeking such a general risk prediction we adopt a fundamental theoretical approach that is and must be testable against the world’s existing data. Comparisons with outcome error data from the world’s commercial airlines, the two shuttle failures, and from nuclear plant operator transient control behaviour, show a reasonable level of accord. The results demonstrate that the risk is dynamic, and that it may be predicted using the MERE learning hypothesis and the minimum failure rate, and can be utilized for predictive risk analysis purposes.
Źródło:
Journal of Polish Safety and Reliability Association; 2007, 1; 75--81
2084-5316
Pojawia się w:
Journal of Polish Safety and Reliability Association
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Decision tree based model of business failure prediction for Polish companies
Autorzy:
Durica, Marek
Frnda, Jaroslav
Svabova, Lucia
Powiązania:
https://bibliotekanauki.pl/articles/19090954.pdf
Data publikacji:
2019
Wydawca:
Instytut Badań Gospodarczych
Tematy:
decision trees
prediction model
financial ratios
business failure
Polish companies
Opis:
Research background: The issue of predicting the financial situation of companies is a relatively young field of economic research. Its origin dates back to the 30's of the 20th century, but constant research in this area proves the currentness of this topic even today. The issue of predicting the financial situation of a company is up to date not only for the company itself, but also for all stakeholders. Purpose of the article: The main purpose of this study is to create new prediction models by using the method of decision trees, in achieving sufficient prediction power of the generated model with a large database of real data on Polish companies obtained from the Amadeus database. Methods: As a result of the development of artificial intelligence, new methods for predicting financial failure of the company have been introduced into financial prediction analysis. One of the most widely used data mining techniques in this field is the method of decision trees. In the paper, we applied the CART and CHAID approach to create a model of predicting the financial difficulties of Polish companies. Findings & Value added: For the creation of the prediction model, a total of 37 financial and economic indicators of Polish companies were used. The resulting decision trees based prediction models for Polish companies reach a prediction power of more than 98%. The success of the classification for non-prosperous companies is more than 83%. The created decision tree-based prediction models are useful mainly for predicting the financial difficulties of Polish companies, but can also be used for companies in another country.
Źródło:
Oeconomia Copernicana; 2019, 10, 3; 453-469
2083-1277
Pojawia się w:
Oeconomia Copernicana
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Logit business failure prediction in V4 countries
Autorzy:
Durica, Marek
Valaskova, Katarina
Janoskova, Katarina
Powiązania:
https://bibliotekanauki.pl/articles/125652.pdf
Data publikacji:
2019
Wydawca:
Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
Tematy:
logit
business failure
financial ratio
prediction model
V4 countries
funkcja logitowa
niepowodzenie biznesowe
wskaźnik finansowy
model prognostyczny
kraje V4
Opis:
The paper presents the creation of the model that predicts the business failure of companies operating in V4 countries. Based on logistic regression analysis, significant predictors are identified to forecast potential business failure one year in advance. The research is based on the data set of financial indicators of more than 173 000 companies operating in V4 countries for the years 2016 and 2017. A stepwise binary logistic regression approach was used to create a prediction model. Using a classification table and ROC curve, the prediction ability of the final model was analysed. The main result is a model for business failure prediction of companies operating under the economic conditions of V4 countries. Statistically significant financial parameters were identified that reflect the impending failure situation. The developed model achieves a high prediction ability of more than 88%. The research confirms the applicability of the logistic regression approach in business failure prediction. The high predictive ability of the created model is comparable to models created by especially sophisticated artificial intelligence approaches. The created model can be applied in the economies of V4 countries for business failure prediction one year in advance, which is important for companies as well as all stakeholders.
Źródło:
Engineering Management in Production and Services; 2019, 11, 4; 54-64
2543-6597
2543-912X
Pojawia się w:
Engineering Management in Production and Services
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A combined universal generating function and physics of failure Reliability Prediction Method for an LED driver
Autorzy:
Fan, Liming
Wang, Kunsheng
Fan, Dongming
Powiązania:
https://bibliotekanauki.pl/articles/1841791.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
reliability prediction
LED driver
reliability modelling
physics of failure
universal generating function
Opis:
The accurate and effective reliability prediction of light emitting diode (LED) drivers has emerged as a key issue in LED applications. However, previous studies have mainly focused on the reliability of electrolytic capacitors or other single components while ignoring circuit topology. In this study, universal generating function (UGF) and physics of failure (PoF) are integrated to predict the reliability of LED drivers. Utilizing PoF, lifetime data for each component are obtained. A system reliability model with multi-phase is established, and system reliability can be predicted using UGF. Illustrated by a two-channel LED driver, the beneficial effects of capacitors and MOSFETs for the reliability of LED drivers is verified. This study (i) provides a universal numerical approach to predict the lifetime of LED drivers considering circuit topology, (ii) enhances the modelling and reliability evaluation of circuits, and (iii) bridges the gap between component and circuit system levels.
Źródło:
Eksploatacja i Niezawodność; 2021, 23, 1; 74-83
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 50

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