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
Main Authors: Hakim M., Omran A.A.B., Ahmed A.N., Al-Waily M., Abdellatif A.
Other Authors: 58938943800
Format: Review
Published: Ain Shams University 2024
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