Wavelet-based Synchroextracting Transform: An effective TFA tool for machinery fault diagnosis-Reference-Cited by-同舟云学术

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Wavelet-based Synchroextracting Transform: An effective TFA tool for machinery fault diagnosis

Published:2021-09 Issue: Volume:114 Page:104884
ISSN:0967-0661
Container-title:Control Engineering Practice
language:en
Short-container-title:Control Engineering Practice

Author:

Shi Zhenjin^ORCID,Yang Xu^ORCID,Li Yueyang^ORCID,Yu Gang^ORCID

Funder

Key Technology Research and Development Program of Shandong

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Publisher

Elsevier BV

Subject

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

Reference47 articles.

1. Signal-processing technology for rotating machinery fault signal diagnosis;Ahn,2015

2. Improving the readability of time-frequency and time-scale representations by the reassignment method;Auger;IEEE Transactions on Signal Processing,1995

3. Advanced detection of rolling bearing spalling from de-noising vibratory signals;Bolaers;Control Engineering Practice,2004

4. Characterization of signals by the ridges of their wavelet transforms;Carmona;IEEE Transactions on Signal Processing,1997

5. Multiridge detection and time-frequency reconstruction;Carmona;IEEE Transactions on Signal Processing,1999

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