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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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Elsevier
2023
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/39164/ |
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