On the extension of Importance Measures to complex components

Yves Dutuit and Antoine Rauzy

Reliability Engineering and System Safety, 2015, vol. 142, issue C, 161-168

Abstract: Importance Measures are indicators of the risk significance of the components of a system. They are widely used in various applications of Probabilistic Safety Analyses, off-line and on-line, in decision making for preventive and corrective purposes, as well as to rank components according to their contribution to the global risk. They are primarily defined for the case the support model is a coherent fault tree and failures of components are described by basic events of this fault tree.

Keywords: Fault Trees; Importance Measures; Complex components (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (12)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:142:y:2015:i:c:p:161-168

DOI: 10.1016/j.ress.2015.04.016

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