Deep order-wavelet convolutional variational autoencoder for fault identification of rolling bearing under fluctuating speed conditions

•A novel model named DOWCVAE is proposed for bearing fault identification.•An optimizer hailed as MOGWO is introduced for parameter adaptive selection.•Our model can adapt well to fault diagnosis task under fluctuating speeds.•Two experimental cases are adopted to validate the effectiveness of our m...

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Bibliographic Details

Published in:	Expert systems with applications Vol. 216; p. 119479
Main Authors:	Yan, Xiaoan, She, Daoming, Xu, Yadong
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 15.04.2023
Subjects:	Bearing fault identification Convolutional variational autoencoder Fluctuating speeds Laplace wavelet Order analysis Bearing fault identification Fluctuating speeds Laplace wavelet Order analysis Convolutional variational autoencoder
ISSN:	0957-4174
Online Access:	Get full text
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