记笔记

High Voltage Circuit Breaker Fault Diagnosis Based on Reasoning chain and Bayes

Mengxuan Sun¹Qing Chen¹Wudi Huang¹Xiaotong Zhang²Wangyuan Gao

1. School of Electrical Engineering,Shandong University 2. State Grid Nanjing Power Supply Company

摘要：In order to find the reason of the high voltage circuit breaker rejection quickly,an fault diagnosis method based on reasoning chain and Bayesian network（BN） is presented in the paper.Firstly,the concept of event set is introduced.A fault symptom set is constructed based on the measured circuit breaker characteristic parameters and warning signals.And the direct cause of circuit breaker failure,such as a part of the circuit breaker components or mechanism failure constitute the fault cause set.After that,when the high voltage circuit breaker fails,a subset of fault symptoms and fault causes is obtained according to the information.Then an reasoning chain is constructed according to the causal relationship between the two.Finally,a corresponding Bayesian network model for reasoning chain is built.The probability of fault causes is obtained by Bayesian backward reasoning,so as to realize the rapid analysis of circuit breaker faults.And the effectiveness of the method is verified by the result of practical fault diagnosis examples.

基金：

the financial support from the National Science Foundation of China（5187070349）；

会议名称：

2019 4th Asia Conference on Power and Electrical Engineering （ACPEE 2019）

会议时间：

2019-03-28

会议地点：

中国浙江杭州