| 地铁列车车门系统故障分析及诊断方法 |
| |
| 引用本文： | 杨颖,李骏,彭冬良,彭驹.地铁列车车门系统故障分析及诊断方法[J].电力机车技术,2014(6):21-23. |
| |
| 作者姓名： | 杨颖 李骏 彭冬良 彭驹 |
| |
| 作者单位： | 南车株洲电力机车有限公司技术中心,湖南株洲412001 |
| |
| 基金项目： | 国家高技术研究发展计划（863计划）项目（2011AA110503） |
| |
| 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。
|
| 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 |
Fault analysis and diagnosis method of door system on metro train |
| |
| YANG Ying,LI Jun,PENG Dong-liang,PENG Ju.Fault analysis and diagnosis method of door system on metro train[J].Technology for Electric Locomotives,2014(6):21-23. |
| |
| Authors: | YANG Ying LI Jun PENG Dong-liang PENG Ju |
| |
| Institution: | (R＆D Center,CSR Zhuzhou Electric Locomotive Co., Ltd., Zhuzhou 412001, China) |
| |
| Abstract: | 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. |
| |
| Keywords: | door system decision tree artificial neural network bayesian network fault diagnosis |
| 本文献已被 维普 等数据库收录！ |
