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Maintenance analysis of a partial observable K-out-of-N system with load sharing units

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  • Nan Zhang
  • Sen Tian
  • Le Li
  • Zhongbin Wang
  • Jun Zhang

Abstract

In this paper, we consider the inspection and maintenance optimization of a K -out-of- N load-sharing system that operates in a deteriorating working condition. The failure rate of each component depends on its load-sharing and the system working condition. During the operation, the system working condition can be deteriorated from the healthy state to the abnormal state. Both the states of the components and the system working environment are hidden. To ensure the system safety, periodical inspection is implemeted, upon which, two-folds of information can be obtained: the state of each component and the partial revealed information corresponding to the state of the working condition. A maintenance policy is proposed based on the observations. The policy is assessed by the total expected discounted maintenance cost in the long-run horizon. We cast the problem into a partially observable Markov decision process framework. We utilize the value iteration algorithm to solve the inspection and maintenance optimization problem. Sensitivity analyses through numerical examples are carried out. A case study of a parallel system with electric motors is examined to show the applicability of the proposed model.

Suggested Citation

  • Nan Zhang & Sen Tian & Le Li & Zhongbin Wang & Jun Zhang, 2023. "Maintenance analysis of a partial observable K-out-of-N system with load sharing units," Journal of Risk and Reliability, , vol. 237(4), pages 703-713, August.
  • Handle: RePEc:sae:risrel:v:237:y:2023:i:4:p:703-713
    DOI: 10.1177/1748006X221109351
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    References listed on IDEAS

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    1. Bei Wu & Lirong Cui, 2022. "On reliability analysis of a load-sharing k-out-of-n: G system with interacting Markov subsystems," International Journal of Production Research, Taylor & Francis Journals, vol. 60(7), pages 2331-2345, April.
    2. Santosh S. Sutar & U. V. Naik-Nimbalkar, 2016. "A model for k-out-of-m load-sharing systems," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 45(20), pages 5946-5960, October.
    3. Olde Keizer, Minou C.A. & Teunter, Ruud H. & Veldman, Jasper & Babai, M. Zied, 2018. "Condition-based maintenance for systems with economic dependence and load sharing," International Journal of Production Economics, Elsevier, vol. 195(C), pages 319-327.
    4. Liu, Bin & Pandey, Mahesh D. & Wang, Xiaolin & Zhao, Xiujie, 2021. "A finite-horizon condition-based maintenance policy for a two-unit system with dependent degradation processes," European Journal of Operational Research, Elsevier, vol. 295(2), pages 705-717.
    5. Havinga, Maik J.A. & de Jonge, Bram, 2020. "Condition-based maintenance in the cyclic patrolling repairman problem," International Journal of Production Economics, Elsevier, vol. 222(C).
    6. Wang, Guanjun & Peng, Rui & Xing, Liudong, 2018. "Reliability evaluation of unrepairable k-out-of-n: G systems with phased-mission requirements based on record values," Reliability Engineering and System Safety, Elsevier, vol. 178(C), pages 191-197.
    7. Shi, Yue & Zhu, Weihang & Xiang, Yisha & Feng, Qianmei, 2020. "Condition-based maintenance optimization for multi-component systems subject to a system reliability requirement," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    8. Olde Keizer, Minou C.A. & Flapper, Simme Douwe P. & Teunter, Ruud H., 2017. "Condition-based maintenance policies for systems with multiple dependent components: A review," European Journal of Operational Research, Elsevier, vol. 261(2), pages 405-420.
    9. Lirong Cui & Hongda Gao & Yuchang Mo, 2018. "Reliability for k-out-of-n:F balanced systems with m sectors," IISE Transactions, Taylor & Francis Journals, vol. 50(5), pages 381-393, May.
    10. Bin Liu & Xiujie Zhao & Yiqi Liu & Phuc Do, 2021. "Maintenance optimisation for systems with multi-dimensional degradation and imperfect inspections," International Journal of Production Research, Taylor & Francis Journals, vol. 59(24), pages 7537-7559, December.
    11. Richard D. Smallwood & Edward J. Sondik, 1973. "The Optimal Control of Partially Observable Markov Processes over a Finite Horizon," Operations Research, INFORMS, vol. 21(5), pages 1071-1088, October.
    12. Uit Het Broek, Michiel A.J. & Teunter, Ruud H. & de Jonge, Bram & Veldman, Jasper, 2021. "Joint condition-based maintenance and load-sharing optimization for two-unit systems with economic dependency," European Journal of Operational Research, Elsevier, vol. 295(3), pages 1119-1131.
    13. Zhu, Wenjin & Fouladirad, Mitra & Bérenguer, Christophe, 2016. "A multi-level maintenance policy for a multi-component and multifailure mode system with two independent failure modes," Reliability Engineering and System Safety, Elsevier, vol. 153(C), pages 50-63.
    14. Zhang, Nan & Fouladirad, Mitra & Barros, Anne, 2019. "Reliability-based measures and prognostic analysis of a K-out-of-N system in a random environment," European Journal of Operational Research, Elsevier, vol. 272(3), pages 1120-1131.
    15. Levitin, Gregory & Xing, Liudong & Dai, Yuanshun, 2014. "Cold vs. hot standby mission operation cost minimization for 1-out-of-N systems," European Journal of Operational Research, Elsevier, vol. 234(1), pages 155-162.
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