A CNN-Based Structure for Performance Degradation Estimation of High-Speed Train Lateral Damper

A CNN-Based Structure for Performance Degradation Estimation of High-Speed Train Lateral Damper

This paper addresses the problem of performance degradation estimation of high-speed train lateral damper based on SDS-CNN. The proposed SDS-CNN consists of two types convolution modules, i.e., DA-Module and FE-Module, where the DA-Module is used to adjust data dimension and map original vibration s...

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Bibliographic Details
Main Authors: Junxiao Ren, Weidong Jin, Yunpu Wu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
High-speed train
lateral damper
performance degradation
vibration signal
deep learning
convolution neural network
Online Access:https://ieeexplore.ieee.org/document/9207931/

Internet

https://ieeexplore.ieee.org/document/9207931/

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