Fault Diagnosis of High-Speed Train Bogie Based on Synchrony Group Convolutions
Health monitoring and fault diagnosis of a high-speed train is an important research area in guaranteeing the safe and long-term operation of the high-speed railway. For a multichannel health monitoring system, a major technical challenge is to extract information from different channels with diverg...
Saved in:
Main Authors: | Yunpu Wu, Weidong Jin, Junxiao Ren, Zhang Sun |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2019-01-01
|
Series: | Shock and Vibration |
Online Access: | http://dx.doi.org/10.1155/2019/7230194 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Convolutional Recurrent Neural Network for Fault Diagnosis of High-Speed Train Bogie
by: Kaiwei Liang, et al.
Published: (2018-01-01) -
Research on the Vibration Insulation of High-Speed Train Bogies in Mid and High Frequency
by: Jia Liu, et al.
Published: (2018-01-01) -
Condition Recognition of High-Speed Train Bogie Based on Multi-View Kernel FCM
by: Qi Rao, et al.
Published: (2019-03-01) -
Research on Bogie Frame Lateral Instability of High-Speed Railway Vehicle
by: Chen Wang, et al.
Published: (2018-01-01) -
Dynamic Rocker-Bogie: Kinematical Analysis in a High-Speed Traversal Stability Enhancement
by: Sunxin Wang, et al.
Published: (2016-01-01)