Convolutional Neural Network-Based Stator Current Data-Driven Incipient Stator Fault Diagnosis of Inverter-Fed Induction Motor

Convolutional Neural Network-Based Stator Current Data-Driven Incipient Stator Fault Diagnosis of Inverter-Fed Induction Motor

In this paper, the idea of using a convolutional neural network (CNN) for the detection and classification of induction motor stator winding faults is presented. The diagnosis inference of the stator inter-turn short-circuits is based on raw stator current data. It offers the possibility of using th...

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Bibliographic Details
Main Authors: Maciej Skowron, Teresa Orlowska-Kowalska, Marcin Wolkiewicz, Czeslaw T. Kowalski
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Energies
Subjects:
fault diagnosis
induction motor drive
inter-turn short circuits
convolutional neural network
deep learning
Online Access:https://www.mdpi.com/1996-1073/13/6/1475

Internet

https://www.mdpi.com/1996-1073/13/6/1475

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