Double-dictionary signal decomposition method based on split augmented Lagrangian shrinkage algorithm and its application in gearbox hybrid faults diagnosis-Reference-Cited by-同舟云学术

Double-dictionary signal decomposition method based on split augmented Lagrangian shrinkage algorithm and its application in gearbox hybrid faults diagnosis

Published:2018-10 Issue: Volume:432 Page:484-501
ISSN:0022-460X
Container-title:Journal of Sound and Vibration
language:en
Short-container-title:Journal of Sound and Vibration

Author:

Yang Xiaoqing,Ding Kang,He Guolin,Li Yongzhuo

Funder

National Natural Science Foundation of China

Natural Science Foundations of Guangdong Province

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

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

Reference23 articles.

1. Vibration mechanisms of spur gear pair in healthy and fault states;Li;Mech. Syst. Signal Process.,2016

2. Recent progress on decoupling diagnosis of hybrid failures in gear transmission systems using vibration sensor signal: a review;Li;Measurement,2016

3. Dominant feature selection for the fault diagnosis of rotary machines using modified genetic algorithm and empirical mode decomposition;Lu;J. Sound Vib.,2015

4. A wavelet approach to fault diagnosis of a gearbox under varying load conditions;Wang;J. Sound Vib.,2010

5. Harmonic wavelet-based data filtering for enhanced machine defect identification;Yan;J. Sound Vib.,2010

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