WITHDRAWN: Bearing fault diagnosis using sparse Daubechies-wavelet impulse isolation and horizontal–vertical synchrosqueezing transform approach-Reference-Cited by-同舟云学术

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WITHDRAWN: Bearing fault diagnosis using sparse Daubechies-wavelet impulse isolation and horizontal–vertical synchrosqueezing transform approach

Published:2020-02 Issue: Volume: Page:
ISSN:0019-0578
Container-title:ISA Transactions
language:en
Short-container-title:ISA Transactions

Author:

Li Qing,Zuo Ming J.,Cattani Carlo

Funder

Natural Sciences and Engineering Research Council of Canada

State Key Laboratory of Mechanical System and Vibration, China

Publisher

Elsevier BV

Subject

Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation

Reference84 articles.

1. Rolling element bearing fault diagnosis using convolutional neural network and vibration image;Hoang;Cogn Syst Res,2019

2. Sparse classification based on dictionary learning for planet bearing fault identification;Zhao;Expert Syst Appl,2018

3. A novel deep output kernel learning method for bearing fault structural diagnosis;Mao;Mech Syst Signal Process,2019

4. Time-varying and multiresolution envelope analysis and discriminative feature analysis for bearing fault diagnosis;Kang;IEEE Trans Ind Electron,2015

5. Plastic bearing fault diagnosis based on a two-step data mining approach;He;IEEE Trans Ind Electron,2013

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