Bayesian networks for multilevel system reliability

Alyson G. Wilson and Aparna V. Huzurbazar

Reliability Engineering and System Safety, 2007, vol. 92, issue 10, 1413-1420

Abstract: 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.

Keywords: Bayesian belief network; System reliability; Bayesian reliability (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (22)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:92:y:2007:i:10:p:1413-1420

DOI: 10.1016/j.ress.2006.09.003

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