Journal article 419 views 273 downloads
Enhanced Bearing Fault Detection in Induction Motors Using Projection-Based SVM
Narges Khadem Hosseini,
Hamid Toshani,
Salman Abdi 
,
Sara Sharifzadeh
,
Sara Sharifzadeh
IEEE Transactions on Industry Applications, Volume: 61, Issue: 3, Pages: 3623 - 3636
Swansea University Author:
Sara Sharifzadeh
-
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Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy.
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DOI (Published version): 10.1109/tia.2025.3536425
Abstract
Enhanced Bearing Fault Detection in Induction Motors Using Projection-Based SVM
| Published in: | IEEE Transactions on Industry Applications |
|---|---|
| ISSN: | 0093-9994 1939-9367 |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2025
|
| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa68949 |
| Keywords: |
Support vector machines, Recurrent neural networks, Pipeline processing, Fault detection, Feature extraction, Accuracy, Induction motors, Fault diagnosis, Optimization, Current measurement |
|---|---|
| College: |
Faculty of Science and Engineering |
| Issue: |
3 |
| Start Page: |
3623 |
| End Page: |
3636 |