International Journal of applied mathematics and computer science

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Paper details

Number 3 - September 2012
Volume 22 - 2012

Bayesian reliability models of Weibull systems: State of the art

Abdelaziz Zaidi, Belkacem Ould Bouamama, Moncef Tagina

Abstract
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.

Keywords
hierarchical modeling, reliability, Weibull, Bayesian networks, fault diagnosis

DOI
10.2478/v10006-012-0045-2