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

author
El Bouharrouti, Nada
Nemat Saberi, Alireza
Hussain Khan, Muhammad Dayyan
Kudelina, Karolina
Naseer, Muhammad Usman
Belahcen, Anouar
source
IET Electric Power Applications
publisher
Wiley
year of publication
2025
url
https://doi.org/10.1049/elp2.70074
subject term
asünkroonmasinad
signaalid
detektsioon
ISSN
1751-8660
1751-8679
scientific publication
teaduspublikatsioon
classifier
1.1
TalTech department
Department of Electrical Power Engineering and Mechatronics
language
English
El Bouharrouti, N., Nemat Saberi, A., Hussain Khan, M. D., Kudelina, K., Naseer, M. U., Belahcen, A. Deep Transfer Learning Approach Using Filtered Time-Frequency Representations of Current Signals for Bearing Fault Detection in Induction Machines // IET Electric Power Applications (2025) https://doi.org/10.1049/elp2.70074