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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Bibliographic Details
Main Authors: Dariusz Czerwinski, Jakub Gęca, Krzysztof Kolano
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/21/14/4655