Article ID Journal Published Year Pages File Type
806540 Reliability Engineering & System Safety 2007 8 Pages PDF
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.

Related Topics
Physical Sciences and Engineering Engineering Mechanical Engineering
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