A new approach for dynamic reliability analysis of reactor protection system for HPR1000

Jintao Xu, Maolei Gui, Rui Ding, Tao Dai, Mengyan Zheng, Xinhong Men, Fanpeng Meng, Tao Yu and Yang Sui

Reliability Engineering and System Safety, 2023, vol. 234, issue C

Abstract: Traditional static methods are mostly adopted to analyze the reliability of reactor protection system (RPS) for nuclear power plant (NPP). However, they cannot characterize its dynamic interaction, time correlation, and uncertainty. In order to solve this problem, dynamic fault tree (DFT) analysis was firstly utilized to create the DFT for the RPS to characterize its dynamic interaction. Then, dynamic Bayesian network (DBN) was used to create the DBN model based upon the DFT for the RPS to characterize its dynamic interaction, time correlation, and uncertainty. Furthermore, Latin hypercube sampling (LHS) was employed to define a new Bayesian inference algorithm. Finally, the defined algorithm was applied in a RPS for Hualong-1Â (HPR1000) in East China to conduct its dynamic prediction and sensitivity analyses through the Bayesian forward and backward inferences, and a new approach for dynamic reliability analysis of the RPS for HPR1000 was proposed. The research results showed that the proposed approach could be used for the dynamic reliability analysis of the RPS.

Keywords: Reactor protection system; Dynamic reliability analysis; Dynamic fault tree; Dynamic bayesian network model; New bayesian inference algorithm (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:234:y:2023:i:c:s0951832023000625

DOI: 10.1016/j.ress.2023.109147

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