Impulsive wavelet based probability sparse coding model for bearing fault diagnosis

•Hyper-Laplacian Sparse Coding model with l0.2-norm was found more suitable for fault diagnosis.•The proposed method successfully extracted early bearing fault features.•The traditional kurtogram method is improved by using the square envelope kurtosis, and the interference of random pulse is remove...

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Bibliographic Details

Published in:	Measurement : journal of the International Measurement Confederation Vol. 194; p. 110969
Main Authors:	Ma, Huijie, Li, Shunming, Lu, Jiantao, Gong, Siqi, Yu, Tianyi
Format:	Journal Article
Language:	English
Published:	London Elsevier Ltd 15.05.2022 Elsevier Science Ltd
Subjects:	Bearings Coding Digital signal processing Fault diagnosis Fault tolerance Feature extraction Probability Roller bearings Signal denoising Signal processing Fault diagnosis Signal denoising Digital signal processing
ISSN:	0263-2241, 1873-412X
Online Access:	Get full text
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