Deep Transfer Learning Approach Using Filtered Time‐Frequency Representations of Current Signals for Bearing Fault Detection in Induction Machines

ABSTRACT This paper addresses the challenge of limited labelled data in induction machine fault diagnosis by applying deep transfer learning with convolutional neural networks to classify ball bearing health conditions. Specifically, the objective is to classify ring and cage failures in ball bearin...

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Bibliographic Details

Published in:	IET Electric Power Applications
Main Authors:	Nada El Bouharrouti, Alireza Nemat Saberi, Muhammad Dayyan Hussain Khan, Karolina Kudelina, Muhammad U. Naseer, Anouar Belahcen
Format:	Article
Language:	English
Published:	Wiley 2025-01-01
Subjects:	band‐stop filters fault diagnosis rolling bearings time‐frequency analysis
Online Access:	https://doi.org/10.1049/elp2.70074