基于贝叶斯网络的地铁车门系统故障诊断分析

Fault Diagnosis of Metro Door System Based on Bayesian Network

提出了基于贝叶斯网络的地铁车门系统故障诊断分析方法,将故障树分析与贝叶斯网络相结合,形成故障贝叶斯网络,详细说明了故障树向故障贝叶斯网络转化过程。以地铁车门系统中基础制动系统为例,进行基于联接树算法的贝叶斯网络精确推理理论的实例分析,验证了基于贝叶斯网络的地铁车门系统故障诊断方法的可靠性。实现了故障贝叶斯网络模型的Matlab仿真,进行了故障因果关系推理和故障重要度判断分析。

The fault diagnosis analysis method of the subway door system based on Bayesian network is proposed.The fault tree analysis is combined with the Bayesian network.The faulty Bayesian network is formed to carry out fault analysis research,and the process of transforming the fault tree into the faulty Bayesian network is described in detail.Taking the basic braking system in the subway door system as an example,an example analysis of the Bayesian network accurate reasoning theory based on the joint tree algorithm is carried out,and the reliability of the fault diagnosis method based on Bayesian network for the subway door system is verified.At the same time,Matlab simulation of fault Bayesian network model is realized,and fault causality reasoning and fault importance judgment analysis are carried out.