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Imperfect condition-based maintenance policy for stochastic degradation systems in dynamic environments

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  • Mai, Yuxi
  • Fouladirad, Mitra
  • Xue, Jianwu

Abstract

Production system operation is often affected by dynamic conditions and maintenance limitations. While most research focuses on preventive replacement maintenance, this paper introduces an imperfect condition-based maintenance policy tailored for systems subject to dynamic environmental conditions. The degradation of the system due to environmental changes is modeled using a Lévy process derived from a gamma process, compound Poisson process, and embedded Markov chain. Periodic inspections allow maintenance actions to be triggered based on the observed degradation level. When degradation exceeds a predefined threshold, imperfect preventive maintenance is performed, partially restoring the system’s degradation. To minimize the long-term average maintenance cost, we optimize the combination of inspection interval and preventive maintenance threshold using an enhanced Cyclic Coordinate Search algorithm. A case study on wind turbine bearings and sensitivity analysis demonstrate the proposed maintenance policy and underscore the value of proactive maintenance under harsh environmental conditions and increased maintenance effectiveness.

Suggested Citation

  • Mai, Yuxi & Fouladirad, Mitra & Xue, Jianwu, 2026. "Imperfect condition-based maintenance policy for stochastic degradation systems in dynamic environments," Reliability Engineering and System Safety, Elsevier, vol. 265(PB).
    • Handle: RePEc:eee:reensy:v:265:y:2026:i:pb:s0951832025007835
    DOI: 10.1016/j.ress.2025.111583
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