Selective Maintenance for Multistate Series Systems with S-Dependent Components

Cuong D. Dao, Ming J. Zuo

    Research output: Contribution to journalArticleAcademicpeer-review

    43 Citations (Scopus)
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    Abstract

    In this paper, we will consider the selective maintenance problem for multistate series systems with stochastic dependent components. In multistate systems, the health state of a component may vary from perfect functioning to complete failure. The stochastic dependence (S-dependence) between components is discussed and categorized into two types in multistate context. First, the failure of a component can immediately cause complete failures of some other components in the system. Second, as components deteriorate, the reduced working performance rate of a multistate component affects the state as well as the degradation rate of its subsequent components in series structure. The system reliability is evaluated using an approach based on stochastic process. A cost-based selective maintenance model is developed for the multistate system with S-dependent components to maximize the total system profit, which includes the production gain and loss in the next mission as well as possible maintenance costs for the system. Analyses of systems with independent and dependent components are provided. It is observed that ignoring S-dependence in the system may lead to alternative maintenance decision making and an optimistic estimation of the system performance.

    Original languageEnglish
    Article number7330049
    Pages (from-to)525-539
    Number of pages15
    JournalIEEE transactions on reliability
    Volume65
    Issue number2
    DOIs
    Publication statusPublished - 1 Jun 2016

    Keywords

    • Failure interaction
    • Multicomponent systems
    • Multistate component
    • Multistate systems
    • Selective maintenance
    • Stochastic dependence (S-dependence)

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