A systematic review of rolling bearing fault diagnoses based on deep learning and transfer learning: Taxonomy, overview, application, open challenges, weaknesses and recommendations

Rolling bearing fault detection is critical for improving production efficiency and lowering accident rates in complicated mechanical systems, as well as huge monitoring data, posing significant challenges to present fault diagnostic technology. Deep Learning is now an extraordinarily popular resear...

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Bibliographic Details

Published in:	Ain Shams Engineering Journal Vol. 14; no. 4; p. 101945
Main Authors:	Hakim, Mohammed, Omran, Abdoulhdi A. Borhana, Ahmed, Ali Najah, Al-Waily, Muhannad, Abdellatif, Abdallah
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 05.04.2023 Elsevier
Subjects:	Deep learning Fault diagnosis Rolling bearing Systematic review Transfer learning Deep learning Fault diagnosis Systematic review Transfer learning Rolling bearing
ISSN:	2090-4479
Online Access:	Get full text
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