Optimal selective maintenance for multi-state systems in variable loading conditions

Cuong D. Dao, Ming J. Zuo*

*Corresponding author for this work

    Research output: Contribution to journalArticleAcademicpeer-review

    46 Citations (Scopus)


    This paper studies the selective maintenance problem for multi-state series systems working in variable loading conditions in the next mission. In the mission, a component's degradation depends on its current state and the load applied on it. A load-dependent degradation model is proposed for multi-state components operating in variable loading conditions. This model is inspired by the load-sharing model where many components share a common workload and the failure rate of a component depends on the state of other components. A Monte-Carlo simulation method is presented to simulate the multi-state component's degradation and to evaluate the system reliability. The final objective is to determine the best selective maintenance strategy to maximize the expected system reliability in the next mission within available resources. An illustrative example, reliability estimation results, and analysis of optimal selective maintenance scenarios for different levels of budget limitation are provided.

    Original languageEnglish
    Pages (from-to)171-180
    Number of pages10
    JournalReliability engineering & system safety
    Publication statusPublished - 1 Oct 2017


    • Degradation rate
    • Monte-Carlo simulation
    • Multi-state system
    • Reliability
    • Selective maintenance
    • Variable operating conditions


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