State-of-the-Art techniques for fault diagnosis in electrical machines: Advancements and future directions
author
Akbar, Siddique
Vaimann, Toomas
Asad, Bilal
Kallaste, Ants
Sardar, Muhammad Usman
Kudelina, Karolina
statement of authorship
Siddique Akbar, Toomas Vaimann, Bilal Asad, Ants Kallaste, Muhammad Usman Sardar and Karolina Kudelina
source
Energies
publisher
MDPI
journal volume number month
Vol. 16, 17
year of publication
2023
pages
Art. 6345
url
https://doi.org/10.3390/en16176345
subject term
elektrimasinad
diagnostika (tehnika)
vead
tehisintellekt
keyword
electrical machines
condition monitoring
fault diagnosis
artificial intelligence (AI)
conventional techniques
ISSN
1996-1073
notes
Special Issue: Novel Approaches to Electrical Machine Fault Diagnosis: Volume II
Bibliogr.: 270 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-s2.0-85170257179&origin=inward&txGid=6c13a93f61451a87ee4b093cc7266471
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=ENERGIES&year=2023
https://www.webofscience.com/wos/woscc/full-record/WOS:001060491700001
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. Fuel technology
Energia. Kütusetehnoloogia
Energy. Energy (miscellaneous)
Energia. Energia (mitmesugused)
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