Generation of unmeasured loading levels data for condition monitoring of induction machine using machine learning
author
Billah, Md Masum
Saberi, Alireza Nemat
Hemeida, Ahmed
Martin, Floran
Kudelina, Karolina
Asad, Bilal
Naseer, Muhammad Usman
Mukherjee, Victor
Belahcen, Anouar
statement of authorship
Md Masum Billah, Alireza Nemat Saberi, Ahmed Hemeida, Floran Martin, Karolina Kudelina, Bilal Asad, Muhammad U Naseer, Victor Mukherjee, Anouar Belahcen
source
IEEE transactions on magnetics
publisher
IEEE
journal volume number month
vol. 60, 3
year of publication
2024
pages
art. 8201104
url
https://doi.org/10.1109/TMAG.2023.3312267
subject term
rootorid
seire
andmed
asünkroonmasinad
tehisõpe
keyword
broken rotor bar
condition monitoring
data augmentation
induction machine
machine learning
ISSN
1941-0069
0018-9464
notes
Bibliogr.: 9 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/17364
https://www.scopus.com/pages/publications/85171522935?inward
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=IEEE%20T%20MAGN&year=2024
https://www.webofscience.com/wos/woscc/full-record/WOS:001178305600066
category (general)
Engineering
Tehnika
Materials science
Materjaliteadus
category (sub)
Engineering. Electrical and electronic engineering
Tehnika. Elektri- ja elektroonikatehnika
Materials science. Electronic, optical and magnetic materials
Materjaliteadus. Elektroonilised, optilised ja magnetilised materjalid
quartile
Q1
TalTech department
elektroenergeetika ja mehhatroonika instituut
language
inglise