基于特征集的列车故障隐患排查方法  

Train Hidden Investigation Method Based on Feature Set

作　　者：陈超录 陈建校 肖志均 

机构地区：[1]株洲中车时代电气股份有限公司技术中心,湖南株洲412001

出　　处：《机车电传动》2016年第2期77-79,共3页Electric Drive for Locomotives

摘　　要：针对现阶段人工排查列车故障隐患中存在工作量大、效率低、漏检率高等问题,通过获取列车特征数据及故障特征样本,提出了一种基于特征集匹配分析的列车故障隐患自动排查方法及系统,分析了该方法的工作机理与系统实施方案。Aim at the problems of heavy workload,low efficiency and high residual error rate for the current artificial train hidden investigation,a method and system for train hidden faults automatic troubleshooting based on feature set matching was proposed through train characteristics data and fault feature samples acquiring.The working mechanism and system implementation of the method were discussed.

关 键 词：特征集 列车故障 特征数据 隐患排查 

分 类 号：U298[交通运输工程—交通运输规划与管理] U279[交通运输工程—道路与铁道工程]