 Reliability-based measures and prognostic analysis of a K-out-of-N system in a random environmentNan Zhang, Mitra Fouladirad and Anne Barros European Journal of Operational Research, 2019, vol. 272, issue 3, 1120-1131 Abstract: In this paper, we study reliability based measures and prognostic problems of a K-out-of-N system in which the failure process of each component depends not only on its intrinsic characteristic but also on its operating environment conditions. The system reliability and the expected remaining useful lifetime are calculated. Under the periodic inspection policy, the system asymptotic availability is derived. We aim at providing explicit expressions for these quantities. The model allows us to incorporate the observation information of the environment in the evaluation of the system performances. Numerical examples show the efficiency and accuracy of our method by comparing with the Monte-Carlo simulations. It is pointed out that the environment condition has significant effect on the system reliability based measures and the system prognostic analysis. Keywords: Reliability; Remaining useful lifetime (RUL); Availability; Continuous-time Markov chain; K-out-of-N systems (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:ejores:v:272:y:2019:i:3:p:1120-1131 DOI: 10.1016/j.ejor.2018.07.022 Access Statistics for this article European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati More articles in European Journal of Operational Research from Elsevier |
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