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
statement of authorship
Nada El Bouharrouti, Alireza Nemat Saberi, Muhammad Dayyan Hussain Khan, Karolina Kudelina, Muhammad U. Naseer, Anouar Belahcen
source
IET Electric Power Applications
publisher
Wiley
journal volume number month
Vol. 19, 1
year of publication
2025
pages
art. e70074
url
https://doi.org/10.1049/elp2.70074
subject term
asünkroonmasinad
signaalid
detektsioon
ISSN
1751-8660
1751-8679
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/5100155084
https://www.scopus.com/pages/publications/105012203849?origin=resultslist
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=IET%20ELECTR%20POWER%20APP&year=2024
https://www.webofscience.com/wos/woscc/full-record/WOS:001576558900001
category (general)
Engineering
Tehnika
category (sub)
Engineering. Electrical and electronic engineering
Tehnika. Elektri- ja elektroonikatehnika
TalTech department
Elektroenergeetika ja mehhatroonika instituut
Department of Electrical Power Engineering and Mechatronics
language
English
Inglise