Detection of faults in rotating machinery using periodic time-frequency sparsity-Reference-Cited by-同舟云学术

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Detection of faults in rotating machinery using periodic time-frequency sparsity

Published:2016-11 Issue: Volume:382 Page:357-378
ISSN:0022-460X
Container-title:Journal of Sound and Vibration
language:en
Short-container-title:Journal of Sound and Vibration

Author:

Ding Yin,He Wangpeng,Chen Binqiang,Zi Yanyang,Selesnick Ivan W.

Funder

China Scholarship Council

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Acoustics and Ultrasonics,Condensed Matter Physics

Reference85 articles.

1. Rolling element bearing diagnostics—a tutorial;Randall;Mechanical Systems and Signal Processing,2011

2. Vibration signal models for fault diagnosis of planetary gearboxes;Feng;Journal of Sound and Vibration,2012

3. Fault diagnosis of rolling element bearings using basis pursuit;Yang;Mechanical Systems and Signal Processing,2005

4. Recent advances in time–frequency analysis methods for machinery fault diagnosis;Feng;Mechanical Systems and Signal Processing,2013

5. Vibration and current transient monitoring for gearbox fault detection using multiresolution Fourier transform;Kar;Journal of Sound and Vibration,2008

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