Fault Detection in Induction Motor Using Time Domain and Spectral Imaging-Based Transfer Learning Approach on Vibration Data

The induction motor plays a vital role in industrial drive systems due to its robustness and easy maintenance but at the same time, it suffers electrical faults, mainly rotor faults such as broken rotor bars. Early shortcoming identification is needed to lessen support expenses and hinder high costs...

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Detalles Bibliográficos
Autores principales: Misra, Sajal, Kumar, Satish, Sayyad, Sameer, Bongale, Arunkumar, Jadhav, Priya, Kotecha, Ketan, Abraham, Ajith, Gabralla, Lubna Abdelkareim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9655596/
https://www.ncbi.nlm.nih.gov/pubmed/36365909
http://dx.doi.org/10.3390/s22218210

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9655596/
https://www.ncbi.nlm.nih.gov/pubmed/36365909
http://dx.doi.org/10.3390/s22218210

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