A fully Bayesian approach for combining multi-level information in multi-state fault tree quantification

T.L. Graves, M.S. Hamada, R. Klamann, A. Koehler and H.F. Martz

Reliability Engineering and System Safety, 2007, vol. 92, issue 10, 1476-1483

Abstract: This paper presents a fully Bayesian approach that simultaneously combines non-overlapping (in time) basic event and higher-level event failure data in fault tree quantification with multi-state events. Such higher-level data often correspond to train, subsystem or system failure events. The fully Bayesian approach also automatically propagates the highest-level data to lower levels in the fault tree. A simple example illustrates our approach.

Keywords: Dirichlet distribution; Markov chain Monte Carlo (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (18)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:92:y:2007:i:10:p:1476-1483

DOI: 10.1016/j.ress.2006.11.001

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