Multistate fault diagnosis strategy for bearings based on an improved convolutional sparse coding with priori periodic filter group

[Display omitted] •A multistate fault diagnosis model for bearings based on PPFG/ICSC is proposed.•The construction and parameter selection method of PPFG is proposed.•Multistate fault components can be extracted by the PPFG/ICSC.•Experimental studies on bearing multistate fault signals are carried...

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Veröffentlicht in:	Mechanical systems and signal processing Jg. 188; S. 109995
Hauptverfasser:	Han, Changkun, Lu, Wei, Wang, Huaqing, Song, Liuyang, Cui, Lingli
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.04.2023
Schlagworte:	ADMM Improved convolutional sparse coding Laplace wavelet Multistate fault diagnosis Priori period filter group Multistate fault diagnosis Laplace wavelet Improved convolutional sparse coding ADMM Priori period filter group
ISSN:	0888-3270
Online-Zugang:	Volltext
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