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Reliability assessments for two types of balanced systems with multi-state protective devices

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  • Wang, Xiaoyue
  • Ning, Ru
  • Zhao, Xian
  • Wu, Congshan

Abstract

In the existing studies, the positive effects of a protective device on the reliability of balanced systems have not been attached importance, and the research on protective devices is limited and insufficient with respect to the triggering and protection mechanisms. Driven by practical engineering applications, this paper establishes two reliability models for balanced systems with multi-state protective devices from the perspectives of dynamic and static balanced concepts, respectively. The rebalanced mechanisms are considered in the proposed dynamic balanced system, and system imbalance is included in the failure criteria of the proposed static balanced system. In both models, new triggering mechanisms of protective devices are proposed based on the respective characteristics of the balanced systems. Moreover, variable protection mechanisms of the devices are proposed by introducing different reduction factors when the protective device operates in different stages. The protective devices reduce the integrated impact of shocks and internal degradation exerted on the units in the new models. The Markov process imbedding method combined with Monte-Carlo simulation is employed to derive the reliability of the proposed models. The applicability of proposed systems and correctness of the method are validated by practical engineering applications.

Suggested Citation

  • Wang, Xiaoyue & Ning, Ru & Zhao, Xian & Wu, Congshan, 2023. "Reliability assessments for two types of balanced systems with multi-state protective devices," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
  • Handle: RePEc:eee:reensy:v:229:y:2023:i:c:s0951832022004690
    DOI: 10.1016/j.ress.2022.108852
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    References listed on IDEAS

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    Cited by:

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    2. Liudmila Zhilyakova & Vasily Koreshkov & Nadezhda Chaplinskaia, 2022. "Some Properties of Stochastic Matrices and Non-Homogeneous Markov Chains Generated by Nonlinearities in the Resource Network Model," Mathematics, MDPI, vol. 10(21), pages 1-18, November.
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    7. Xiaoyue Wang & Jingxuan Wang & Ru Ning & Xi Chen, 2023. "Joint Optimization of Maintenance and Spare Parts Inventory Strategies for Emergency Engineering Equipment Considering Demand Priorities," Mathematics, MDPI, vol. 11(17), pages 1-18, August.
    8. Wang, Siqi & Zhao, Xian & Wu, Congshan & Wang, Xiaoyue, 2023. "Joint optimization of multi-stage component reassignment and preventive maintenance for balanced systems considering imperfect maintenance," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
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    11. Wei, Xiaohua & Bai, Sijun & Wu, Bei, 2023. "A novel shock-dependent preventive maintenance policy for degraded systems subject to dynamic environments and N-critical shocks," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
    12. Zhao, Xian & Guo, Bin & Chen, Yuan, 2024. "A condition-based inspection-maintenance policy for critical systems with an unreliable monitor system," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    13. Liu, Hengchang & Li, Bo & Yao, Fengming & Hu, Gexi & Xie, Lei, 2024. "Maintenance optimization of multi-unit balanced systems using deep reinforcement learning," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
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    15. Dui, Hongyan & Zhang, Yulu & Bai, Guanghan, 2024. "Analysis of variable system cost and maintenance strategy in life cycle considering different failure modes," Reliability Engineering and System Safety, Elsevier, vol. 243(C).

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