A Fault-Diagnosis Method for Railway Turnout Systems Based on Improved Autoencoder and Data Augmentation

In recent years, with the rapid increase in coverage and lines, security maintenance has become one of the top concerns with regard to railway transportation in China. As the key transportation infrastructure, the railway turnout system (RTS) plays a vital role in transportation, which will cause in...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 22; H. 23; S. 9438
Hauptverfasser:	Li, Mengyang, Hei, Xinhong, Ji, Wenjiang, Zhu, Lei, Wang, Yichuan, Qiu, Yuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 02.12.2022 MDPI
Schlagworte:	Analysis Artificial intelligence China Classification Cognitive models data augmentation Discriminant analysis Fault diagnosis Feature selection improved autoencoder Intelligence Methods Railroads railway turnout system Safety and security measures Signal processing Stations Support vector machines Technology Transportation Transportation authorities unbalanced datasets Wavelet transforms China improved autoencoder fault diagnosis data augmentation railway turnout system unbalanced datasets
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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