摘要
重载列车部件传统计划修方式较低效,有必要开发更高效的运维技术。故障预测与健康管理(PHM)系统能够通过智能化感知技术收集车辆运行数据,转化为电信号和数字信号;运用信息传输与通信技术,实现车对车、车对地、列车内部的数据传输;通过数据处理,实现故障预警和寿命评估,提供状态修方案,降低维护成本。梳理了PHM关键技术在重载列车的应用现状,为后续的故障预测与健康管理系统研究提供参考。
The traditional planning and repair methods of heavy-haul train components are relatively inefficient,and it is necessary to develop more efficient operation and maintenance technologies.The fault prediction and health management(PHM)system can collect vehicle operation data through intelligent perception technology and convert it into electrical signals and digital signals.By using information transmission and communication technology,data transmission between trains,between trains,and within trains has been achieved.Through data processing,fault warning and life evaluation are realized,and condition maintenance solutions are provided,reducing maintenance costs.The current application status of PHM key technologies in heavy-duty trains has been summarized,providing reference for subsequent research on fault prediction and health management systems.
作者
赵宝
李佳怡
李烨斌
王亚军
向超群
成庶
ZHAO Bao;LI Jiayi;LI Yebin;WANG Yajun;XIANG Chaoqun;CHENG Shu(Institute of Science and Technology,Daqin Railway Co.,Ltd.,Taiyuan 030013,China;School of Traffic&Transportation Engineering,Central South University,Changsha 410075,China)
出处
《电工技术》
2023年第14期235-240,共6页
Electric Engineering
基金
重载铁路运行安全健康管理(PHM)平台研究。
关键词
重载列车
故障预测与健康管理
智能运维
寿命预测
heavy-duty railway
PHM
intelligent operation and maintenance
lifespan prediction
