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Detection of Broken Rotor Bars in Cage Induction Motors Using Machine Learning Methods
In this paper, the performance of machine learning methods for squirrel cage induction motor broken rotor bar (BRB) fault detection is evaluated. Decision tree classification (DTC), artificial neural network (ANN), and deep learning (DL) methods are developed, applied, and studied to compare their p...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10674855/ https://www.ncbi.nlm.nih.gov/pubmed/38005467 http://dx.doi.org/10.3390/s23229079 |