摘要
介绍了北京地铁车辆故障预测及健康管理(PHM)技术,并以北京地铁13号线车辆为例,详细阐述了其客室电动门系统的故障大数据统计与分析以及故障模式、影响及危害性分析(FMECA)。
The Prognostics Health Management(PHM)technique applied in Beijing metro vehicles is described.With vehicles for Beijing Metro No.13 as the example,the big data statistics and analysis on troubles in the electric door system for passenger compartments and the fault mode,effect and criticality analysis(FMECA)are expounded in detail.
作者
张萌
ZHANG Meng(the 3rd Branch of Beijing Metro Operation Co.,Ltd.,Beijing 100052,China)
出处
《铁道车辆》
2020年第5期35-38,I0003,共5页
Rolling Stock
