Bayesian reliability models of Weibull systems: State of the art

• Autorzy: Abdelaziz Zaidi , Belkacem Ould Bouamama , Moncef Tagina
• Języki publikacji: EN

Abstrakty

EN

In the reliability modeling field, we sometimes encounter systems with uncertain structures, and the use of fault trees and reliability diagrams is not possible. To overcome this problem, Bayesian approaches offer a considerable efficiency in this context. This paper introduces recent contributions in the field of reliability modeling with the Bayesian network approach. Bayesian reliability models are applied to systems with Weibull distribution of failure. To achieve the formulation of the reliability model, Bayesian estimation of Weibull parameters and the model's goodness-of-fit are evoked. The advantages of this modelling approach are presented in the case of systems with an unknown reliability structure, those with a common cause of failures and redundant ones. Finally, we raise the issue of the use of BNs in the fault diagnosis area.

Słowa kluczowe

EN

hierarchical modeling; reliability; Weibull; Bayesian networks; fault diagnosis

• Wydawca: University of Zielona Gora Press
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2012
• Tom: 22
• Numer: 3
• Strony: 585-600

Daty

wydano

2012

otrzymano

2011-04-21

poprawiono

2011-11-28

Twórcy

autor

Abdelaziz Zaidi

• LACS, National School of Engineering of Tunis, BP 37, 1002 Belvedere, Tunisia

autor

Belkacem Ould Bouamama

• LAGIS, Polytech'Lille, University of Lille Nord de France, 59650 Villeneuve d'Ascq, France

autor

Moncef Tagina

• LACS, National School of Engineering of Tunis, BP 37, 1002 Belvedere, Tunisia

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Identyfikatory

DOI

10.2478/v10006-012-0045-2