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

Hongyan Dui, Zhe Xu, Liwei Chen, Liudong Xing and Bin Liu
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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

Mathematics, 2022, vol. 10, issue 4, 1-18

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.

Keywords: system reliability; system performance; resilience; maintenance; importance measure (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

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