Research on Failure Probability Analysis Method of Nuclear Power Equipment Based on Failure Data  
Author Ruijin Zhang

 
Co-Author(s) Jianfeng Yang; Zhaokai He; Liyang Xie

 
Abstract The safe and reliable operation of nuclear power equipment is crucial for the stable development of nuclear power plants, and accurately analyzing its failure probability is a key link in ensuring nuclear power safety. In this paper, due to the scarcity of CCF (Common-Cause Failure) data of nuclear power equipment, it is difficult to conduct CCF analysis using empirical models. Based on the generalized stress-strength interference analysis at the system level, a failure probability model for a parallel system that can reflect the influence of failure correlation is established. The model is discretized, and a parameterized model of the system failure probability is established. The statistical method for CCF data based on the parameterized model is determined and is carried out on the on-site failure data records of the SEC pumps in nuclear power equipment. The parameterized model of the system failure probability is applied to conduct failure probability analysis and failure correlation analysis of the SEC pumps. The results show that this model can well predict the occurrence probability of high-order failure events according to the occurrence times of low-order failure events and reasonably calculate the CCF coefficients of each order of the system according to the occurrence times of failure events of each order of the system.

 
Keywords Nuclear Power Equipment; CCF; System Failure Probability; Parameterized Model; Correlation Coefficient
   
    Article #:  RQD2025-399
 

Proceedings of 30th ISSAT International Conference on Reliability & Quality in Design
August 6-8, 2025