Generalized autoencoder-based fault detection method for traction systems with performance degradation  

作　　者：Chao Cheng Wenyu Liu Lu Di Shenquan Wang 

机构地区：[1]Changchun University of Technology,Changchun 130012,China [2]Jilin Institute of Electronics Information Products Inspection,Changchun 130012,China

出　　处：《High-Speed Railway》2024年第3期180-186,共7页高速铁路（英文）

基　　金：supported by the National Natural Science Foundation of China(Grant Nos.U20A20186 and 62372063).

摘　　要：Fault diagnosis of traction systems is important for the safety operation of high-speed trains.Long-term operation of the trains will degrade the performance of systems,which decreases the fault detection accuracy.To solve this problem,this paper proposes a fault detection method developed by a Generalized Autoencoder(GAE)for systems with performance degradation.The advantage of this method is that it can accurately detect faults when the traction system of high-speed trains is affected by performance degradation.Regardless of the probability distribution,it can handle any data,and the GAE has extremely high sensitivity in anomaly detection.Finally,the effectiveness of this method is verified through the Traction Drive Control System(TDCS)platform.At different performance degradation levels,our method’s experimental results are superior to traditional methods.

关 键 词：Performance degradation Generalized autoencoder Fault detection Traction control systems High-speed trains 

分 类 号：U229[交通运输工程—道路与铁道工程]