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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Vydané v:	Mechanical systems and signal processing Ročník 188; s. 109995
Hlavní autori:	Han, Changkun, Lu, Wei, Wang, Huaqing, Song, Liuyang, Cui, Lingli
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.04.2023
Predmet:	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
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