Enhancing Bearing Fault Diagnosis Using Transfer Learning and Random Forest Classification: A Comparative Study on Variable Working Conditions
<p dir="ltr">Rotating machines require bearings to operate smoothly. However, wear, misalignment, and poor lubrication can degrade bearings over time. Fault diagnosis models identify and classify bearing faults. A fault diagnosis model trained in a specific working condition may not...
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| Main Author: | Durjay Saha (21633095) (author) |
|---|---|
| Other Authors: | Md. Emdadul Hoque (20080485) (author), Muhammad E. H. Chowdhury (14150526) (author) |
| Published: |
2024
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| Subjects: | |
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