摘要
故障预测与健康管理(prognostics and health management,PHM)技术应用于动车组关键部件监控以来,在保证动车组运行安全、指导动车组检修等方面起到了重要作用。PHM系统根据动车组技术发展、现场应用实际,其功能、模型也在不断优化中。结合某动车段现场应用实际及需求,对基于动车组PHM技术的健康监测及专家支持系统进行功能优化。通过优化动车组空调、变压器、变流器、牵引电机等关键部件预警预测模型阈值,增加模型逻辑展示、一键生成用户要求格式的故障信息、动车组部件全景展示等功能,实现个性化定制预警预测模型、快速传递故障信息、动车组部件可视化辅助应急指导等一系列智能化监控,达到故障超前预判、提升快速响应能力,降低动车组故障率,减少对行车秩序影响的目的。
Since its implementation in monitoring key components of EMUs,prognostics and health management(PHM)technology has played a vital role in ensuring operational safety and guiding maintenance practices.The functions and models of the PHM system continue to be optimized in response to EMU technological advancements and practical field application requirements.Based on the operational experience and needs of an EMU depot,this study introduces functional enhancements to the health monitoring and expert support system built on EMU PHM technology.By refining the warning and prediction model thresholds for key components-such as air conditioning systems,transformers,converters,and traction motors—and incorporating features such as model logic visualization,one-click generation of fault reports in user-defined formats,and panoramic display of EMU components,the system now enables intelligent monitoring capabilities.These include customized warning and prediction models,rapid fault information transmission,and visual assistance for emergency guidance.As a result,the system supports early fault detection,improves rapid response capability,reduces EMU failure rates,and minimizes disruption to operational schedules.
作者
刘彦志
程静静
张国忠
纪奕龙
王岩
LIU Yanzhi;CHENG Jingjing;ZHANG Guozhong;JI Yilong;WANG Yan(Qingdao EMU Depot,China Railway Jinan Group Co.,Ltd.,Qingdao 266031,China;CRRC Qingdao Sifang Locomotive&Rolling Stock Co.,Ltd.,Qingdao 266111,China)
出处
《智慧轨道交通》
2026年第1期1-7,共7页
INTELLIGENT RAIL TRANSIT
关键词
动车组
PHM
预警预测模型
智能监控
应急指导
EMU
PHM
early warning and prediction model
intelligent monitoring
emergency guidance
