基于信号分析和大数据识别技术的列车故障诊断系统  

Train Fault Diagnosis System Based on Signal Analysis and Big Data Identification Technology

作　　者：孔涛 KONG Tao(China Civil Engineering Construction Corporation,Beijing 100038,China)

机构地区：[1]中国土木工程集团有限公司,北京100038

出　　处：《铁道建筑技术》2023年第9期78-80,共3页Railway Construction Technology

基　　金：辽宁省科学技术计划项目(2021020825-JH1/104)。

摘　　要：本文构建的列车故障诊断及应急控制系统是基于信号采集技术,采用工业以太网拓扑结构,通过车载设备和地面设备实时数据采集、分析、处理,并且通过建立不断迭代的大数据模型对车辆走行部元件进行故障诊断,根据诊断结果通过分级故障报警系统实现对车辆运行进行分级管理。该系统的故障预判能力,有效降低了车辆运行风险,提高了城市轨道车辆的维护保养的精准化和效率,并同时实现了对车辆走行部元件全生命周期的健康监测及管理。The train fault diagnosis and emergency control system is based on signal acquisition technology,using industrial Ethernet topology structure,real-time data acquisition,analysis,and processing by on-board and ground equipment,and fault diagnosis of vehicle running gear components through the establishment of iterative big data models.According to the diagnosis results,hierarchical fault alarm systems are used to achieve hierarchical management of rolling stock operation.The system’s fault prediction capability effectively reduces rolling stock operational risks,improves the accuracy and efficiency of rolling stock maintenance,and simultaneously achieves health monitoring and management of the entire life cycle of rolling stock running gear components.

关 键 词：故障诊断 大数据模型 故障预测 故障分类控制 

分 类 号：TP27[自动化与计算机技术—检测技术与自动化装置] U279[自动化与计算机技术—控制科学与工程]