An adaptive boundary determination method for empirical wavelet transform and its application in wheelset-bearing fault detection in high-speed trains-Reference-Cited by-同舟云学术

An adaptive boundary determination method for empirical wavelet transform and its application in wheelset-bearing fault detection in high-speed trains

Published:2021-02 Issue: Volume:171 Page:108746
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Zhang Qingsong,Ding Jianming,Zhao Wentao

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference44 articles.

1. Diagnosing axle box bearings fault using a refined phase difference correction method;Xiong;J. Mech. Sci. Technol.,2019

2. Fault detection of a wheelset bearing in a high-speed train using the shock-response convolutional sparse-coding technique;Ding;Measurement,2018

3. Bearing fault diagnosis using a whale optimization algorithm-optimized orthogonal matching pursuit with a combined time–frequency atom dictionary;Zhang;Mech. Syst. Signal Process.,2018

4. Fault Detection of High-Speed Train Wheelset Bearing Based on Impulse-Envelope Manifold;Zhuang;Shock and Vibration.,2017

5. Fault Detection of a Wheelset Bearing Based on Appropriately Sparse Impulse Extraction;Ding;Shock and Vibration.,2017

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