Research on Reliability Evaluation Method of Nuclear Energy System Based on Dynamic Bayesian Network

Wei Wentao; Li Meifu; Zhu Dahuan; Zhong Mingjun; Guo Yongjin; Du Zhengyu; Jiang Xiaowei

doi:10.13832/j.jnpe.2023.S2.0109

Volume 44 Issue S2

Dec. 2023

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Article Navigation > Nuclear Power Engineering > 2023 > 44(S2): 109-114

Wei Wentao, Li Meifu, Zhu Dahuan, Zhong Mingjun, Guo Yongjin, Du Zhengyu, Jiang Xiaowei. Research on Reliability Evaluation Method of Nuclear Energy System Based on Dynamic Bayesian Network[J]. Nuclear Power Engineering, 2023, 44(S2): 109-114. doi: 10.13832/j.jnpe.2023.S2.0109

Citation:

Wei Wentao, Li Meifu, Zhu Dahuan, Zhong Mingjun, Guo Yongjin, Du Zhengyu, Jiang Xiaowei. Research on Reliability Evaluation Method of Nuclear Energy System Based on Dynamic Bayesian Network[J]. Nuclear Power Engineering, 2023, 44(S2): 109-114. doi: 10.13832/j.jnpe.2023.S2.0109

Citation:

Wei Wentao, Li Meifu, Zhu Dahuan, Zhong Mingjun, Guo Yongjin, Du Zhengyu, Jiang Xiaowei. Research on Reliability Evaluation Method of Nuclear Energy System Based on Dynamic Bayesian Network[J]. Nuclear Power Engineering, 2023, 44(S2): 109-114. doi: 10.13832/j.jnpe.2023.S2.0109

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Research on Reliability Evaluation Method of Nuclear Energy System Based on Dynamic Bayesian Network

doi: 10.13832/j.jnpe.2023.S2.0109

1.
Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, Chengdu, 610213, China
2.
MOE Key Laboratory of Marine Intelligent Equipment and System, Shanghai Jiao Tong University, Shanghai, 200240, China

Received Date: 2023-07-11
Rev Recd Date: 2023-09-14
Publish Date: 2023-12-30

Abstract

Abstract

Aiming at the problem that the reliability analysis of static system can not analyze the dynamic time sequence of the running system when the traditional fault tree analysis focuses on the design stage, a reliability analysis method based on dynamic Bayesian network (DBN) is proposed, which takes the dynamic fault tree as the bridge and obtains the DBN model from the fault tree. In this study, a typical PWR main water supply system is selected, and the reliability analysis, fault diagnosis and sensitivity analysis of the system are carried out by using DBN method. Compared with the traditional analysis method, the reliability data obtained is closer to the real value, which provides a more accurate basis for operation decision-making and can improve the economy of nuclear power plants.
- Dynamic Bayesian Network (DBN),
- Reliability analysis,
- Fault diagnosis,
- Main water supply system

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References(6)

References

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