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Bayesian networks for multilevel system reliability
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DOI：10.1016/j.ress.2006.09.003.png)
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Bayesian networks have recently found many applications in systems reliability; however, the focus has been on binary outcomes. In this paper we extend their use to multilevel discrete data and discuss how to make joint inference about all of the nodes in the network. These methods are applicable when system structures are too complex to be represented by fault trees. The methods are illustrated through four examples that are structured to clarify the scope of the problem. (C) 2006 Elsevier Ltd. All rights reserved.
Keyword:
Bayesian belief network
system reliability
Bayesian reliability
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Improving the analysis of dependable systems by mapping fault trees into Bayesian networks通过将故障树映射到贝叶斯网络来改善对可靠系统的分析
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