Improved local mean decomposition for modulation information mining and its application to machinery fault diagnosis-Reference-Cited by-同舟云学术

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Improved local mean decomposition for modulation information mining and its application to machinery fault diagnosis

Published:2017-06 Issue: Volume:397 Page:266-281
ISSN:0022-460X
Container-title:Journal of Sound and Vibration
language:en
Short-container-title:Journal of Sound and Vibration

Author:

Liu Zhiliang,Zuo Ming J.,Jin Yaqiang,Pan Deng,Qin Yong

Funder

National Natural Science Foundation of China

Southwest Jiaotong University

Fundamental Research Funds for the Central Universities

China Postdoctoral Science Foundation Funded Project

Beijing Jiaotong University

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

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

Reference25 articles.

1. Joint amplitude and frequency demodulation analysis based on local mean decomposition for fault diagnosis of planetary gearboxes;Feng;Mech. Syst. Signal Process.,2013

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

3. A comparative study on the local mean decomposition and empirical mode decomposition and their applications to rotating machinery health diagnosis;Wang;J. Vib. Acoust., Trans. ASME,2010

4. The local mean decomposition and its application to EEG perception data;Smith;J. R. Soc. Interface,2005

5. A rotating machinery fault diagnosis method based on local mean decomposition;Cheng;Digit. Signal Process.,2012

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