A Multimodal Model for Fault Diagnosis in Induction Motors Using Thermal Images and Large Language Models
This study addresses the challenge of reliable and interpretable fault diagnosis in induction motors, a critical requirement for reducing unplanned downtime and maintenance costs in industrial systems. While deep learning models applied to infrared thermography achieve high diagnostic accuracy, they...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2026-01-01
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| coleção: | IEEE Access |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/11563751/ |
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