Deep regularized variational autoencoder for intelligent fault diagnosis of rotor–bearing system within entire life-cycle process

The performance of complex rotor–bearing system usually decreases with the development of the running time, which indicates that the rotor–bearing system usually goes through several stages (e.g., normal, slight fault, middle fault, and severe fault) in performance degradation process. Namely, the f...

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Bibliographic Details
Published in:	Knowledge-based systems Vol. 226; p. 107142
Main Authors:	Yan, Xiaoan, She, Daoming, Xu, Yadong, Jia, Minping
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 17.08.2021 Elsevier Science Ltd
Subjects:	Ability Algorithms Categories Classification Deep learning Deep regularized variational autoencoder Degradation Entire life-cycle Experiments Fault diagnosis Identification Identification methods Intelligence Intelligent fault diagnosis Learning Life cycle assessment Life cycles Machine learning Medical diagnosis Performance degradation Regularization Rotors Rotor–bearing system Rotor–bearing system Deep regularized variational autoencoder Entire life-cycle Intelligent fault diagnosis
ISSN:	0950-7051, 1872-7409
Online Access:	Get full text
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