Performance comparison of machine learning algorithms for condition monitoring of tapered roller bearings
This paper investigated the implementation of machine learning algorithms for health monitoring and fault detection of tapered roller bearings (TRBs) (30205 J2/Q, 30206 J2/Q and 30207 J2/Q). Three defect models were considered: inner race defect, outer race defect and roller defect, in addition to d...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Balkan Scientific Centre
2025-06-01
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| Series: | Tribology and Materials |
| Subjects: | |
| Online Access: | https://www.tribomat.net/archive/2025/2025-02/TM-2025-02-05.pdf |
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