Sliding plug door system is an important part of high-speed railway.In order to solve the problems of low efficiency and poor accuracy of current sliding plug door system fault diagnosis,a fault diagnosis method for high-speed railway sliding plug door based on Bayesian network is proposed.First,by analyzing the historical fault data of the sliding plug door,the fault tree model of the sliding plug door is constructed,and the conversion process of the fault tree model to the Bayesian network is explained in de-tail.It mainly includes the directed acyclic graph and the conditional probability table.The joint tree algorithm performs network rea-soning,and completes the fault diagnosis analysis of the high-speed rail sliding plug door system through diagnostic reasoning,so as to quickly determine the failure mode and point of failure.The experimental analysis results verify the feasibility of the method.
关键词
贝叶斯网络/故障诊断/塞拉门/联合树
Key words
Bayesian network/fault diagnosis/plug door/union tree
维普
万方数据