Methods of condition monitoring and fault detection for electrical machines
author
Kudelina, Karolina
Asad, Bilal
Vaimann, Toomas
Rassõlkin, Anton
Kallaste, Ants
Khang, Huynh Van
statement of authorship
Karolina Kudelina, Bilal Asad, Toomas Vaimann, Anton Rassõlkin, Ants Kallaste, Huynh Van Khang
source
Energies
publisher
MDPI
journal volume number month
vol. 14(22)
year of publication
2021
pages
art. 7459, 20 p. : ill
url
https://doi.org/10.3390/en14227459
subject term
elektrimasinad
rikked
diagnostika (tehnika)
tehisintellekt
töökindlus
hägusloogika
keyword
artificial intelligence
condition monitoring
failure detection
fault diagnosis
fuzzy logic
machine learning
neural networks
reliability
ISSN
1996-1073
notes
Bibliogr.: 126 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-s2.0-85119349122&origin=inward&txGid=eea7d9186e49c33d7b861523fcf865b2
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=ENERGIES&year=2022
https://www.webofscience.com/wos/woscc/full-record/WOS:000725813400001
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