Rolling bearing fault diagnosis based on SSA optimized self-adaptive DBN

Due to the structure of rolling bearings and the complexity of the operating environment, collected vibration signals tend to show strong non-stationary and time-varying characteristics. Extracting useful fault feature information from actual bearing vibration signals and identifying bearing faults...

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Bibliographic Details

Published in:	ISA transactions Vol. 128; no. Pt B; pp. 485 - 502
Main Authors:	Gao, Shuzhi, Xu, Lintao, Zhang, Yimin, Pei, Zhiming
Format:	Journal Article
Language:	English
Published:	United States Elsevier Ltd 01.09.2022
Subjects:	Deep belief network Optimization design Rolling bearing fault diagnosis Salp swarm algorithm Salp swarm algorithm Deep belief network Optimization design Rolling bearing fault diagnosis
ISSN:	0019-0578, 1879-2022, 1879-2022
Online Access:	Get full text
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