AI-Based Multi-Signals Fault Diagnosis of Induction Motor
Induction motors (IMs) are vital to industrial operations but are prone to electrical and mechanical faults such as bearing damage, stator winding issues, and broken rotor bars. Conventional fault diagnosis methods often rely on single-source data, which limits detection accuracy under dynamic condi...
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| Auteurs principaux: | , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
IEEE
2025-01-01
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| Collection: | IEEE Access |
| Sujets: | |
| Accès en ligne: | https://ieeexplore.ieee.org/document/11296977/ |
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