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  • Search: subject:"Reliability prediction"
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Year of publication
Subject
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Reliability prediction 6 Forecasting model 5 Prognoseverfahren 5 Repairable system 3 Binary Decision Diagram (BDD) 2 Bounds computation 2 Forecasting 2 GARCH model 2 Large network reliability 2 Product reliability 2 Reliability graph 2 Theorie 2 Theory 2 Time series analysis 2 reliability prediction 2 ARCH model 1 ARCH-Modell 1 Accelerated life testing 1 Aerospace industry 1 Artificial intelligence 1 Bayes-Statistik 1 Bayesian inference 1 Bayesian networks 1 Business network 1 Degradation assessment 1 Estimation theory 1 Fahrzeugflotte 1 Graph theory 1 Graphentheorie 1 Hausgerät 1 Home appliances 1 Imperfect repair 1 Instandhaltung 1 Künstliche Intelligenz 1 Luftfahrtindustrie 1 Maintenance policy 1 NB 1 Naïve Bayes 1 Photovoltaic application 1 Photovoltaics 1
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Online availability
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Undetermined 5 Free 1
Type of publication
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Article 8
Type of publication (narrower categories)
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Article in journal 5 Aufsatz in Zeitschrift 5 research-article 1
Language
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English 6 Undetermined 2
Author
All
Sebastio, Stefano 2 Wang, Dazhi 2 Yin, Xiaoyan 2 Belkhir, Negrou 1 Driss, Zied 1 Hefaidh, Hadef 1 Küçüker, Faruk Umut 1 Liang, Yi-hui 1 Liang, Yi‐Hui 1 Ma, Lin 1 Mathew, Joseph 1 Muzorewa, Silas 1 Mébarek, Djebabra 1 Sun, Yong 1 Telukdarie, A. 1 Trivedi, Kishor S. 1 Trivedi, Kishor Shridharbhai 1 Yet, Barbaros 1
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Published in...
All
International journal of quality & reliability management 2 European Journal of Operational Research 1 European journal of operational research : EJOR 1 International Journal of Quality & Reliability Management 1 International journal of intelligent enterprise 1 Journal of the Operational Research Society 1
Source
All
ECONIS (ZBW) 5 BASE 1 RePEc 1 Other ZBW resources 1
Showing 1 - 8 of 8
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Machine learning to predict the field reliability of electric steam irons
Muzorewa, Silas; Telukdarie, A. - In: International journal of intelligent enterprise 11 (2024) 2, pp. 141-156
Persistent link: https://www.econbiz.de/10015065322
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Reliability prediction for aircraft fleet operators : a Bayesian network model that combines supplier estimates, maintenance data and expert judgement
Küçüker, Faruk Umut; Yet, Barbaros - In: Journal of the Operational Research Society 74 (2023) 10, pp. 2187-2198
Persistent link: https://www.econbiz.de/10014446068
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Reliability degradation prediction of photovoltaic modules based on dependability methods
Hefaidh, Hadef; Mébarek, Djebabra; Belkhir, Negrou; … - In: International journal of quality & reliability management 40 (2023) 2, pp. 478-495
Persistent link: https://www.econbiz.de/10013535693
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Prediction of system reliability for single component repair
Sun, Yong; Ma, Lin; Mathew, Joseph - 2007
Purpose ? To present a new Split System Model (SSM) that predicts the reliability of complex systems with multiple Preventive Maintenance (PM) actions in the long term. Design/methodology/approach - The SSM was developed using probability theory based on the concept of separating repaired and...
Persistent link: https://www.econbiz.de/10009483316
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Fast computation of bounds for two-terminal network reliability
Sebastio, Stefano; Trivedi, Kishor Shridharbhai; Wang, Dazhi - In: European journal of operational research : EJOR 238 (2014) 3, pp. 810-823
Persistent link: https://www.econbiz.de/10010401935
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Fast computation of bounds for two-terminal network reliability
Sebastio, Stefano; Trivedi, Kishor S.; Wang, Dazhi; … - In: European Journal of Operational Research 238 (2014) 3, pp. 810-823
In this paper, an algorithm for the fast computation of network reliability bounds is proposed. The evaluation of the network reliability is an intractable problem for very large networks, and hence approximate solutions based on reliability bounds have assumed importance. The proposed bounds...
Persistent link: https://www.econbiz.de/10010785312
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Applying the generalized autoregressive conditional Heteroskedastic model to analyze and forecast the field failure data of repairable systems
Liang, Yi-hui - In: International journal of quality & reliability management 30 (2013) 7, pp. 737-750
Persistent link: https://www.econbiz.de/10009788883
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Applying the generalized autoregressive conditional Heteroskedastic model to analyze and forecast the field failure data of repairable systems
Liang, Yi‐Hui - In: International Journal of Quality & Reliability Management 30 (2013) 7, pp. 737-750
progress in the field of reliability prediction estimation can benefit engineers or management authorities by providing …
Persistent link: https://www.econbiz.de/10014802361
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