Compressed sparse time–frequency feature representation via compressive sensing and its applications in fault diagnosis-Reference-Cited by-同舟云学术

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Compressed sparse time–frequency feature representation via compressive sensing and its applications in fault diagnosis

Published:2015-05 Issue: Volume:68 Page:70-81
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Wang Yanxue,Xiang Jiawei,Mo Qiuyun,He Shuilong

Funder

National Natural Science Foundation of China

Guanxi Key Laboratory of Manufacturing System & Advanced Manufacturing Technology

Guangxi Natural Science Foundation

The project is also sponsored by SRF for ROCS, SEM and by Guangxi Experiment Center of Information Science

Publisher

Elsevier BV

Subject

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

Reference29 articles.

1. Time-frequency features of two types of coupled rub-impact faults in rotor systems;Ma;J. Sound Vib.,2009

2. Time-frequency manifold correlation matching for periodic fault identification in rotating machines;He;J. Sound Vib.,2013

3. Application of Choi-Williams reduced interference time-frequency distribution to machinery diagnostics;Gaberson;Shock Vib.,1995

4. Application of local mean decomposition to the surveillance and diagnostics of low-speed helical gearbox;Wang;Mech. Mach. Theory,2012

5. A demodulation method based on improved local mean decomposition and its application in rub-impact fault diagnosis;Wang;Meas. Sci. Technol.,2009

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