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Imperfect condition-based maintenance for a gamma degradation process in presence of unknown parameters

Author

Listed:
  • Franck Corset
  • Mitra Fouladirad
  • Christian Paroissin

Abstract

A system subject to degradation is considered. The degradation is modelled by a gamma process. A condition-based maintenance policy with perfect corrective and an imperfect preventive actions is proposed. The maintenance cost is derived considering a Markov-renewal process. The statistical inference of the degradation and maintenance parameters by the maximum likelihood method is investigated. A sensibility analysis to different parameters is carried out and the perspectives are detailed.

Suggested Citation

  • Franck Corset & Mitra Fouladirad & Christian Paroissin, 2023. "Imperfect condition-based maintenance for a gamma degradation process in presence of unknown parameters," Journal of Risk and Reliability, , vol. 237(3), pages 546-561, June.
    • Handle: RePEc:sae:risrel:v:237:y:2023:i:3:p:546-561
    DOI: 10.1177/1748006X221134132
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    Cited by:

    1. 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).
    2. Mahdi Asadinejad & Sadigh Raissi & Alireza Rashidi Komijan, 2026. "An optimum selective maintenance plan for mission-oriented systems subject to degradation process model," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 17(3), pages 731-742, March.

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