Fault Detection of Induction Motors with Combined Modeling- and Machine-Learning-Based Framework

Fault Detection of Induction Motors with Combined Modeling- and Machine-Learning-Based Framework

This paper deals with the early detection of fault conditions in induction motors using a combined model- and machine-learning-based approach with flexible adaptation to individual motors. The method is based on analytical modeling in the form of a multiple coupled circuit model and a feedforward ne...

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Bibliographic Details
Main Authors: Moritz Benninger, Marcus Liebschner, Christian Kreischer
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Energies
Subjects:
induction motors
fault detection
machine learning
supervised learning
multiple coupled circuit model
parameter identification
Online Access:https://www.mdpi.com/1996-1073/16/8/3429

Internet

https://www.mdpi.com/1996-1073/16/8/3429

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