RELIABILITY RESEARCH OF POWER-SUPPLY SYSTEM IN NUCLEAR POWER PLANT BASED ON MARKOV THEORY AND BAYES NETWORK

摘要：

As components in an actual nuclear system have multi states and are dependent on each other, a method for system reliability analyse based on Markov theory and Bayes network is presented in this paper. The method resolves the problems of multi-state and dependence simultaneously, by utilizing Markov theory and Bayes network synthetically. Applying the method to analysing reliability of power-supply system in nuclear power plant, the system failure probability, RAW and posterior probability of each component are obtained, which are useful for system reliability evaluation, improvement of weakness and fault diagnosis. Synchronously, the method is proved feasible and effective for solving system reliability that contains dependent and multi-state components.

作者: Li Zhen Sun Xinli Ding Jian Zhang Xia Cai Xinghui

作者单位: The Xi’an High-tech Research Institute Xi’an, China Technique Support Center of The Second Artillery Equipment Academy Beijing, China The Third Institute of The Second Artillery Equipment Academy Beijing, China

会议类型: 国际会议

会议名称: 18th International Conference on Nuclear Engineering(第18届国际核能工程大会 ICONE 18)

会议地点: 西安

会议语种:英文

页码: 1-6

在线出版日期: 2010-05-17（万方平台首次上网日期，不代表论文的发表时间）