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

Turn off MathJax

Article Contents

Abstract

References

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

PDF( 5179 KB)

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

FullText(HTML)

References(6)

References

[1]	DUGAN J B, BAVUSO S J, BOYD M A. Dynamic fault-tree models for fault-tolerant computer systems[J]. IEEE Transactions on Reliability, 1992, 41(3): 363-377. doi: 10.1109/24.159800
[2]	张晓洁,赵海涛,苗强,等. 基于动态故障树的卫星系统可靠性分析[J]. 宇航学报,2009, 30(3): 1249-1254.
[3]	戴志辉,王增平,焦彦军. 基于动态故障树与蒙特卡罗仿真的保护系统动态可靠性评估[J]. 中国电机工程学报,2011, 31(19): 105-113.
[4]	李佩昌,袁宏杰,兰杰,等. 基于顺序二元决策图的动态故障树分析[J]. 北京航空航天大学学报,2017, 43(1): 167-175.
[5]	朱正福,李长福,何恩山,等. 基于马尔可夫链的动态故障树分析方法[J]. 兵工学报,2008, 29(9): 1104-1107.
[6]	国家核安全局. 中国核电厂设备可靠性数据报告(2015版)[R]. 北京: 国家核安全局,2015.

Relative Articles

[1]	Liu Tao, Xie Jinsen. Study on Transient Parameter Prediction and Fault Diagnosis of Nuclear Power Plant Based on LSTM Neural Network[J]. Nuclear Power Engineering, 2025, 46(2): 230-238. doi: 10.13832/j.jnpe.2024.080036
[2]	Chen Bo, Cao Zhongcai, Yao Xiangying, Guo Tianyu. Research and Implementation of Anomaly Detection and Fault Diagnosis System for Chemical Control in Nuclear Power Plants[J]. Nuclear Power Engineering, 2024, 45(S1): 13-18. doi: 10.13832/j.jnpe.2024.S1.0013
[3]	Li Xiangyu, Cheng Kun, Tan Sichao, Huang Tao, Yuan Dongdong. Fault Diagnosis Method of Nuclear Power Plant Based on Adaboost Algorithm[J]. Nuclear Power Engineering, 2022, 43(4): 118-125. doi: 10.13832/j.jnpe.2022.04.0118
[4]	Liu Zhilong, Li Tongxi, Nie Changhua, Zhan Li, Tang Zhangchun, Liu Jie. Fault Diagnosis Method of Nuclear Gate Valve Based on Characteristic Analysis of Operation Process Variables[J]. Nuclear Power Engineering, 2022, 43(2): 171-174. doi: 10.13832/j.jnpe.2022.02.0171
[5]	Ma Jie, Zhang Longfei, Yu Ren, Peng Qiao, Hu Pengfei. Research on Accident Diagnosis Method for Reactor Primary Circuit System Based on SDG and PCA[J]. Nuclear Power Engineering, 2021, 42(3): 197-203. doi: 10.13832/j.jnpe.2021.03.0197
[6]	Chen Ling, Chen Han, Zhang Yongfa. Reliability Analysis of Digital Emergency Shutdown System Based on Markov/CCMT Method[J]. Nuclear Power Engineering, 2021, 42(6): 155-160. doi: 10.13832/j.jnpe.2021.06.0155
[7]	Yang Jiandong. Vibration Fault Diagnosis and Analysis of Fan In Nuclear Fuel Workshop[J]. Nuclear Power Engineering, 2018, 39(6): 178-181. doi: 10.13832/j.jnpe.2018.06.0178
[8]	Wang Tianshu, Yu Ren, Liu Xiaofan. Study on Design of Fault Diagnosis System for Nuclear Power Plants[J]. Nuclear Power Engineering, 2018, 39(2): 176-179. doi: 10.13832/j.jnpe.2018.02.0176
[9]	Jiang Lizhi, Cai Qi, Zhang Yongfa. Reliability and Parameter Sensitivity Analysis of Passive System in Nuclear Power Plants[J]. Nuclear Power Engineering, 2017, 38(5): 91-95. doi: 10.13832/j.jnpe.2017.05.0091
[10]	Zhao Xinwen, Ren Xin. Application of Improved Degree of Grey Incidence Analysis Model in Fault Diagnosis of Steam Generator[J]. Nuclear Power Engineering, 2014, 35(3): 97-101. doi: 10.13832/j.jnpe.2014.03.0097
[11]	Chen Yongwei, Wang Renxiang. A Fault Diagnosis Method Based on Simulation of Real Conditions[J]. Nuclear Power Engineering, 2014, 35(5): 128-132. doi: 10.13832/j.jnpe.2014.05.0128
[12]	Wang Chao, Leng Shan, Chang Qing, Chen Weihua, Jiang Hui, Sun Wei, Guo Zhiwu. Accessorial Software for Reliability Analysis of Reactor Protection System[J]. Nuclear Power Engineering, 2014, 35(6): 148-152. doi: 10.13832/j.jnpe.2014.06.0148
[13]	ZHENG Liangang, LU Yongbo. Reliability Analysis of Reactor Pressure Vessel Intensity[J]. Nuclear Power Engineering, 2012, 33(4): 1-4.
[14]	YU Ren, CHEN Zhi, ZHANG Zi, LIU Lianghui. A WAV-ICA Based On-Line Fault Diagnosis Method for Redundant Sensors in Nuclear Power Plants[J]. Nuclear Power Engineering, 2012, 33(3): 109-114,120.
[15]	WU Wenjie, HUANG Dagui. Research on Fault Diagnosis Method for Rotating Machinery Vibration Based on Wavelet Transformation and Probabilistic Neural Network[J]. Nuclear Power Engineering, 2012, 33(6): 105-109.
[16]	LI Zhe. Dynamic Analysis of Diesel Generator System after Loss of Offsite Power Event Occurring in Nuclear Power Plants[J]. Nuclear Power Engineering, 2012, 33(1): 60-65.
[17]	YANG Ming, ZHANG Zhijian. Study on Quantitative Reliability Analysis by Multilevel Flow Models for Nuclear Power Plants[J]. Nuclear Power Engineering, 2011, 32(4): 72-76.
[18]	ZHANG Jun, DING Hui, LI Ming, ZHANG Yicheng, CHEN Huaidong, LU: Tianming. Reliability Analysis of in-Service Inspection for Key Components in Nuclear Power Plants[J]. Nuclear Power Engineering, 2011, 32(4): 58-61,71.
[19]	CAI Meng, ZHANG Dafa, ZHANG Yusheng, JIN Renxi. Study on Intelligent Fault Diagnosis System of Nuclear Power Plants Based on Information Fusion Technique[J]. Nuclear Power Engineering, 2011, 32(4): 105-108,113.
[20]	MA Jie, GUO Lifeng, ZHANG Yusheng, PENG Qiao, LI Haiwei. Fault Diagnosis Study on Secondary System of Nuclear Power Plants Based on MFM Model[J]. Nuclear Power Engineering, 2011, 32(4): 109-113.

Supplements(0)

Cited By

Cited by

Periodical cited type(4)

1.	李蔚，李翱，方兴煜，卢韩斌，林小杰，尚宪和. 基于CiteSpace的核电机组故障诊断发展趋势分析. 山东电力技术. 2025(03): 75-85 .
2.	刘丹，曹晓菲，程媛媛，宋信艳，李亚利. 基于动态贝叶斯网络的医院骨科设备运行风险评估研究. 中国医学装备. 2024(03): 118-122 .
3.	姜华. 核电厂化容系统上充回路可靠性研究. 环境技术. 2024(08): 73-78+89 .
4.	齐金平，刘皓皓. 动车组列控车载子系统故障机理建模与分析. 安全与环境学报. 2024(11): 4171-4180 .