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
Journal metrics at Scopus
Article at Scopus
WOS
Journal metrics at WOS
Article at WOS
category (general)
Mathematics
en
Matemaatika
et
Engineering
en
Tehnika
et
Energy
en
Energia
et
category (sub)
Mathematics. Control and optimization
en
Matemaatika. Juhtimine ja optimeerimine
et
Engineering. Engineering (miscellaneous)
en
Tehnika. Tehnika (mitmesugused)
et
Engineering. Electrical and electronic engineering
en
Tehnika. Elektri- ja elektroonikatehnika
et
Energy. Energy engineering and power technology
en
Energia. Energiatehnika ja energeetika
et
Energy. Energy (miscellaneous)
en
Energia. Energia (mitmesugused)
et
Energy. Fuel technology
en
Energia. Kütusetehnoloogia
et
Energy. Renewable energy, sustainability and the environment
en
Energia. Taastuvenergia, jätkusuutlikkus ja keskkond
et
kvartiil
Q2
TTÜ department
elektroenergeetika ja mehhatroonika instituut
language
inglise
Uurimisrühm
Electrical machines research group
Mechatronics and autonomous systems centre