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Machine Learning for Sensorless Temperature Estimation of a BLDC Motor

In this article, the authors propose two models for BLDC motor winding temperature estimation using machine learning methods. For the purposes of the research, measurements were made for over 160 h of motor operation, and then, they were preprocessed. The algorithms of linear regression, ElasticNet,...

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Detalles Bibliográficos
Autores principales: Czerwinski, Dariusz, Gęca, Jakub, Kolano, Krzysztof
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8309559/
https://www.ncbi.nlm.nih.gov/pubmed/34300395
http://dx.doi.org/10.3390/s21144655