摘要
蓄电池是列车降弓状态或紧急情况下的直接动力来源,对列车安全运行起着至关重要的作用。为防止因蓄电池故障导致机破及相关设备无法启动等现象的发生,文章基于列车蓄电池的工作原理及供电特性,提出一种监测数据与专家规则相结合应用的车载蓄电池在线故障预警方法。其在不额外增加传感器的前提下,通过分析既有列车多功能车辆总线(MVB)数据中与蓄电池工作状态相关的信号量随时间的演化特性,进行故障征兆特征提取与专家规则模型构建,实现蓄电池工作状态的实时评估与失效预警。目前该方法已被批量应用于某地铁线路车辆上,现场验证结果表明,该方法能够有效预警蓄电池故障,应用期间未发现漏报及误报现象。
Battery is a direct power source of the train under the condition of pantograph dropping or emergency,which plays an important role in the safety train operation.In order to prevent the occurrence of locomotive failure and related devices cannot startup caused by battery failure,combining with work principle and power supply characteristics,an online fault early warning method of train battery based on real-time monitoring data and expert rule is proposed.Under the premise of not deploying additional sensors,the time evolution property of signals related to battery working states in the real-time MVB data is analyzed,based on which,the warning fault features are extracted and expert rule module is constructed.Consequently,the real-time state assessment and fault early warning results are given.The method has been widely applied in train batteries of certain metro line,and no missing or false positives were found during the application,the verification results show the proposed method can effectively pre-warn battery fault.
作者
徐勇
刘勇
戴计生
张士强
XU Yong;LIU Yong;DAI Jisheng;ZHANG Shiqiang(Zhuzhou CRRC Times Electric Co.,Ltd.,Zhuzhou,Hunan 412001,China)
出处
《控制与信息技术》
2021年第2期106-111,共6页
CONTROL AND INFORMATION TECHNOLOGY
基金
国家重点研发计划(2016YFB1200401)
关键词
列车蓄电池
专家规则
状态评估
在线故障预警
train battery
expert rule
state assessment
online fault early warning
