动车组轴温传感器故障诊断策略研究与应用  

Research and Application of EMU Axle Temperature Sensor Fault Diagnosis Strategy

作　　者：卢青松 戴计生 詹彦豪 LU Qinsong;DAI Jisheng;ZHAN Yanhao(Zhuzhou CRRC Times Electric Co.,Ltd.,Zhuzhou,Hunan 412001,China)

机构地区：[1]株洲中车时代电气股份有限公司,湖南株洲412001

出　　处：《控制与信息技术》2021年第6期118-122,共5页CONTROL AND INFORMATION TECHNOLOGY

基　　金：国家重点研发计划(2016YFB1200401)。

摘　　要：现有的动车组轴温故障检测模型对温度传感器故障指向不明,现场难以排查故障点,造成人力和物力的浪费。为此,文章基于数据相似度分析和多变量决策树方法,提出一种轴温传感器故障诊断策略,其可准确识别传感器故障、线路接触不良和外界干扰等故障原因;在此基础上,设计了一款轴温故障智能诊断系统,其能实现轴温故障的自动识别,且轴温传感器故障诊断准确率达到85%以上。Existing EMU axle temperature fault diagnostic models have unclear temperature sensor fault location.It is difficult to troubleshoot the point of failure on site,resulting in wastage of manpower and material resources.Based on the data similarity analysis and multivariable decision tree,a fault diagnosis strategy of axle temperature sensor is proposed,which can accurately identify the fault causes such as sensor fault,poor line contact and external interferences.On this basis,an intelligent diagnosis system of axle temperature fault is designed to realize automatic identification and diagnosis of axle temperature fault,and the diagnosis accuracy is more than 85%.

关 键 词：轴温传感器 故障诊断 数据相似度分析 多变量决策树 诊断系统 

分 类 号：U266.2[机械工程—车辆工程]