Transient extraction based on minimax concave regularized sparse representation for gear fault diagnosis-Reference-Cited by-同舟云学术

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Transient extraction based on minimax concave regularized sparse representation for gear fault diagnosis

Published:2020-02 Issue: Volume:151 Page:107273
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Huang Weiguo,Li Shijun,Fu Xiangyu,Zhang Cheng,Shi Juanjuan,Zhu Zhongkui

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

Elsevier BV

Subject

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

Reference25 articles.

1. A review of stochastic resonance in rotating machine fault detection;Lu;Mech. Syst. Signal Process.,2019

2. Weak transient fault feature extraction based on an optimized Morlet wavelet and kurtosis;Qin;Meas. Sci. Technol.,2016

3. Dual-enhanced sparse decomposition for wind turbine gearbox fault diagnosis;Wang;IEEE Trans. Instrum. Meas.,2018

4. Research and application of improved adaptive MOMEDA fault diagnosis method;Wang;Measurement,2019

5. Compound faults detection in gearbox via meshing resonance and spectral kurtosis methods;Wang;J. Sound Vib.,2017

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