文章基本信息

标题：Bayesian reliability models of Weibull systems: State of the art
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作者：Abdelaziz Zaidi ; Belkacem Ould Bouamama ; Moncef Tagina 等
期刊名称：International Journal of Applied Mathematics and Computer Science
电子版ISSN：2083-8492
出版年度：2012
卷号：22
期号：3
DOI：10.2478/v10006-012-0045-2
出版社：De Gruyter Open
摘要：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.
关键词：hierarchical modeling; reliability; Weibull; Bayesian networks; fault diagnosis