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Data-Driven Maintenance Priority and Resilience Evaluation of Performance Loss in a Main Coolant System

Author

Listed:
  • Hongyan Dui

    (School of Management Engineering, Zhengzhou University, Zhengzhou 450001, China)

  • Zhe Xu

    (School of Management Engineering, Zhengzhou University, Zhengzhou 450001, China)

  • Liwei Chen

    (School of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, China)

  • Liudong Xing

    (Department of Electrical & Computer Engineering, University of Massachusetts, Dartmouth, MA 02747, USA)

  • Bin Liu

    (Department of Management Science, University of Strathclyde, Glasgow G1 1XQ, UK)

Abstract

The main coolant system (MCS) plays a vital role in the stability and reliability of a nuclear power plant. However, human errors and natural disasters may cause some reactor coolant system components to fail, resulting in severe consequences such as nuclear leakage. Therefore, it is crucial to perform a resilience analysis of the MCS, to effectively reduce and prevent losses. In this paper, a resilience importance measure (RIM) for performance loss is proposed to evaluate the performance of the MCS. Specifically, a loss importance measure (LIM) is first proposed to indicate the component maintenance priority of the MCS under different failure conditions. Based on the LIM, RIMs for single component failure and multiple component failures were developed to measure the recovery efficiency of the system performance. Finally, a case study was conducted to demonstrate the proposed resilience measure for system reliability. Results provide a valuable reference for increasing the system security of the MCS and choosing the appropriate total maintenance cost.

Suggested Citation

  • Hongyan Dui & Zhe Xu & Liwei Chen & Liudong Xing & Bin Liu, 2022. "Data-Driven Maintenance Priority and Resilience Evaluation of Performance Loss in a Main Coolant System," Mathematics, MDPI, vol. 10(4), pages 1-18, February.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:4:p:563-:d:747392
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    References listed on IDEAS

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    Cited by:

    1. 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).
    2. Dui, Hongyan & Tian, Tianzi & Wu, Shaomin & Xie, Min, 2023. "A cost-informed component maintenance index and its applications," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    3. Liao, Ruoyu & He, Yihai & Zhang, Jishan & Zheng, Xin & Zhang, Anqi & Zhang, Weifang, 2023. "Reliability proactive control approach based on product key reliability characteristics in manufacturing process," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    4. Wang, Wenzhuo & He, Yihai & Liao, Ruoyu & Cai, Yuqi & Zheng, Xin & Zhao, Yu, 2022. "Mission reliability driven functional healthy state modeling approach considering production rhythm and workpiece quality for manufacturing systems," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    5. Chen, Liwei & Cheng, Chunchun & Dui, Hongyan & Xing, Liudong, 2022. "Maintenance cost-based importance analysis under different maintenance strategies," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    6. Hongyan Dui & Huiting Xu & Yun-An Zhang, 2022. "Reliability Analysis and Redundancy Optimization of a Command Post Phased-Mission System," Mathematics, MDPI, vol. 10(22), pages 1-15, November.
    7. Dui, Hongyan & Wei, Xuan & Xing, Liudong & Chen, Liwei, 2023. "Performance-based maintenance analysis and resource allocation in irrigation networks," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    8. Zhao, Xian & He, Zongda & Wu, Yaguang & Qiu, Qingan, 2022. "Joint optimization of condition-based performance control and maintenance policies for mission-critical systems," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    9. Ke Chen & Xian Zhao & Qingan Qiu, 2022. "Optimal Task Abort and Maintenance Policies Considering Time Redundancy," Mathematics, MDPI, vol. 10(9), pages 1-16, April.
    10. Wang, Xiaoyue & Ning, Ru & Zhao, Xian & Zhou, Jian, 2022. "Reliability analyses of k-out-of-n: F capability-balanced systems in a multi-source shock environment," Reliability Engineering and System Safety, Elsevier, vol. 227(C).
    11. Hongyan Dui & Jiaying Song & Yun-an Zhang, 2023. "Reliability and Service Life Analysis of Airbag Systems," Mathematics, MDPI, vol. 11(2), pages 1-13, January.
    12. Shichang Xiao & Zigao Wu & Hongyan Dui, 2022. "Resilience-Based Surrogate Robustness Measure and Optimization Method for Robust Job-Shop Scheduling," Mathematics, MDPI, vol. 10(21), pages 1-22, October.
    13. Zhao, Xian & Dong, Bingbing & Wang, Xiaoyue, 2023. "Reliability analysis of a two-dimensional voting system equipped with protective devices considering triggering failures," Reliability Engineering and System Safety, Elsevier, vol. 232(C).

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