Signal spectrum-based machine learning approach for fault prediction and maintenance of electrical machines
author
Raja, Hadi Ashraf
Kudelina, Karolina
Asad, Bilal
Vaimann, Toomas
Kallaste, Ants
Rassõlkin, Anton
Khang, Huynh Van
statement of authorship
Hadi Ashraf Raja, Karolina Kudelina, Bilal Asad, Toomas Vaimann, Ants Kallaste, Anton Rassõlkin and Huynh Van Khang
source
Energies
special issue
Implementation of Machine Learning in Sustainable Electric Power Applications
publisher
MDPI
journal volume number month
vol. 15, 24
year of publication
2022
pages
art. 9507
url
https://doi.org/10.3390/en15249507
subject term
tehisintellekt
prognoosid
käit
tehisõpe
tehisnärvivõrgud
keyword
artificial intelligence
fault prediction
predictive maintenance
machine learning
neural network
ISSN
1996-1073
notes
Bibliogr.: 47 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/62932
https://www.scopus.com/record/display.uri?eid=2-s2.0-85144620308&origin=inward&txGid=ca51dc042539c7e8f4437b4f022d6288
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=ENERGIES&year=2022
https://www.webofscience.com/wos/woscc/full-record/WOS:000902653700001
category (general)
Mathematics
Matemaatika
Engineering
Tehnika
Energy
Energia
category (sub)
Mathematics. Control and optimization
Matemaatika. Juhtimine ja optimeerimine
Engineering. Engineering (miscellaneous)
Tehnika. Tehnika (mitmesugused)
Engineering. Electrical and electronic engineering
Tehnika. Elektri- ja elektroonikatehnika
Energy. Energy engineering and power technology
Energia. Energiatehnika ja energeetika
Energy. Energy (miscellaneous)
Energia. Energia (mitmesugused)
Energy. Fuel technology
Energia. Kütusetehnoloogia
Energy. Renewable energy, sustainability and the environment
Energia. Taastuvenergia, jätkusuutlikkus ja keskkond
quartile
Q2
TalTech department
elektroenergeetika ja mehhatroonika instituut
language
inglise
Reserch Group
Electrical machines research group
Mechatronics and autonomous systems centre