 Failure interaction model based on extreme shock and Markov processesToualith Jean-Marc Meango and Mohamed-Salah Ouali Reliability Engineering and System Safety, 2020, vol. 197, issue C Abstract: Reliability models have overtaken the stochastic dependence that may exist between multiple failure modes of the same system. A few relevant models involve the calculation of interaction coefficients, which are difficult to interpret and quantify from maintenance logs. This paper develops a model that integrates failure interactions as successive random events. It uses an interrelated draw concept to model the dependent failure modes as consequences of extreme shocks. The model quantifies the probabilities of both sides’ failure mode effects on the reliability indexes’ system. A Markov process method is used to estimate the mean time-to-failure of a culvert system subject to two cracking and displacement dependent failure modes. The model developed reproduces the interaction phenomena within the culvert beside the interpretability of its results. A sensitivity analysis demonstrates that the intensity of the shock process strengthens its interactivity in most cases. Keywords: Failure interaction; Stochastic dependence; Reliability analysis; Markov process (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:197:y:2020:i:c:s0951832019311718 DOI: 10.1016/j.ress.2020.106827 Access Statistics for this article Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares More articles in Reliability Engineering and System Safety from Elsevier |
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