基于Bayes纯电动汽车电机控制系统的故障仿真分析  

Fault Simulation Analysis Based on Bayes Pure Electric Vehicle Motor Control System

作　　者：赵旭 ZHAO Xu(GuangDong Baiyun University Faculty of Mechanical and Electrical Engineering,Guangdong Guangzhou 510400)

机构地区：[1]广东白云学院机电工程学院,广东广州510400

出　　处：《汽车实用技术》2021年第12期135-137,共3页Automobile Applied Technology

基　　金：基于故障贝叶斯仿真模型的纯电动汽车电机驱动系统故障诊断研究(编号:2020BYKY08)。

摘　　要：文章针对纯电动汽车电机控制系统故障,采用故障贝叶斯网络进行诊断,通过具体案例分析故障贝叶斯网络的构建方法及诊断流程。通过条件概率推算系统后验故障概率,分析系统故障的重要度,从而快速准确地找到较大可能的故障事件或故障组合事件,体现出故障贝叶斯网络在复杂系统故障诊断方面的优势。In this paper,the fault Bayes network is adopted to diagnose the motor control system faults of electric vehicles,and the construction method and diagnosis process of fault Bayes network are analyzed through specific cases.The conditional probability can be used to calculate the posterior failure probability of the system,and the importance of the system fault can also be analyzed,so as to quickly and accurately find the more likely fault events or fault combination events,reflecting the advantages of fault Bayes network in fault diagnosis of complex systems.

关 键 词：电机控制系统 故障诊断 贝叶斯网络 仿真分析 

分 类 号：TH17[机械工程—机械制造及自动化]