Deep Learning for Track Quality Evaluation of High-Speed Railway Based on Vehicle-Body Vibration Prediction

Deep Learning for Track Quality Evaluation of High-Speed Railway Based on Vehicle-Body Vibration Prediction

Track quality evaluation is fundamental for track maintenance. Around the world, track geometry standards are established to evaluate track quality. However, these standards may not be capable of detecting some abnormal track geometry conditions that can cause considerable vehicle-body vibration. An...

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Bibliographic Details
Main Authors: Shuai Ma, Liang Gao, Xiubo Liu, Jing Lin
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Track quality evaluation
track geometry
vehicle-body vibration
convolutional neural network (CNN)
long short-term memory (LSTM)
CNN-LSTM
Online Access:https://ieeexplore.ieee.org/document/8936399/

Internet

https://ieeexplore.ieee.org/document/8936399/

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