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Anomaly Detection for Railway Vehicle Equipment Using Condition Monitoring Data
Last updated on 23 November 2022 2:28
In recent years, some railway vehicles have been equipped with condition monitoring devices, which constantly record the operating condition of railway vehicle equipment. For more effective use of condition monitoring devices, we propose an anomaly detection method for railway vehicle equipment using Long Short-Term Memory (LSTM), which is a deep...
Author(s):
Toshihide YOKOUCHI;Tatsuro TAKASHIGE;Minoru Kondo
Organisation(s):
Railway Techinical Research Institute (RTRI) ;
2022
Japan
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