Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers

Efficient fault diagnosis of electrical and mechanical anomalies in induction motors (IMs) is challenging but necessary to ensure safety and economical operation in industries. Research has shown that bearing faults are the most frequently occurring faults in IMs. The vibration signals carry rich in...

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Detalles Bibliográficos
Autores principales: Toma, Rafia Nishat, Prosvirin, Alexander E., Kim, Jong-Myon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180902/
https://www.ncbi.nlm.nih.gov/pubmed/32231167
http://dx.doi.org/10.3390/s20071884

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180902/
https://www.ncbi.nlm.nih.gov/pubmed/32231167
http://dx.doi.org/10.3390/s20071884

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