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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Veröffentlicht in:	Measurement : journal of the International Measurement Confederation Jg. 194; S. 110969
Hauptverfasser:	Ma, Huijie, Li, Shunming, Lu, Jiantao, Gong, Siqi, Yu, Tianyi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Elsevier Ltd 15.05.2022 Elsevier Science Ltd
Schlagworte:	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-Zugang:	Volltext
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