Axle Temperature Monitoring and Neural Network Prediction Analysis for High-Speed Train under Operation

Predicting the axle temperature states of the high-speed train under operation in advance and evaluating working states of axle bearings is important for improving the safety of train operation and reducing accident risks. The method of monitoring the axle temperature of a train under operation, com...

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Bibliographic Details
Main Authors: Wei Hao, Feng Liu
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/12/10/1662