摘要
车门系统作为地铁列车的重要组成部分,其工作状态对于列车的安全运行有重要意义。文章介绍了列车车门的结构和常见的车门故障,对故障产生的原因做了简要分析。针对列车车门故障,文章分别介绍了基于决策树、人工神经网络和贝叶斯网络的故障诊断方法。
As an important component of metro train,the working state of door system has a great influence on the safe operation of the train. This paper presents the train door structure and common door faults, and briefly analyzes the causes of door faults. Focusing on the door faults,this paper respectively introduces the diagnosis methods based on decision tree, annual neural network and Bayesian network.
出处
《电力机车与城轨车辆》
2014年第6期21-23,共3页
Electric Locomotives & Mass Transit Vehicles
基金
国家高技术研究发展计划(863计划)项目(2011AA110503)
关键词
车门系统
决策树
人工神经网络
贝叶斯网络
故障诊断
door system
decision tree
artificial neural network
bayesian network
fault diagnosis
