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...
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , , , |
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| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
MDPI AG
2026-03-01
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| Σειρά: | Energies |
| Θέματα: | |
| Διαθέσιμο Online: | https://www.mdpi.com/1996-1073/19/5/1328 |
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