Bayesian Gaussian Mixture Model Classifier for Fault Detection in Induction Motors Using Start-Up Current Analysis
Induction motors constitute a major share of industrial drives, making reliable fault detection essential for maintaining operational continuity. This work develops a Bayesian classifier for identifying rotor-bar damage using start-up current measurements represented in the frequency domain. The spe...
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| Asıl Yazarlar: | , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
MDPI AG
2026-03-01
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| Seri Bilgileri: | Energies |
| Konular: | |
| Online Erişim: | https://www.mdpi.com/1996-1073/19/5/1328 |
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