Trends and challenges in intelligent condition monitoring of electrical machines using machine learning
author
Kudelina, Karolina
Vaimann, Toomas
Asad, Bilal
Rassõlkin, Anton
Kallaste, Ants
Demidova, Galina
statement of authorship
Karolina Kudelina, Toomas Vaimann, Bilal Asad, Anton Rassõlkin, Ants Kallaste and Galina Demidova
source
Applied sciences
publisher
MDPI
journal volume number month
vol. 11, 6
year of publication
2021
pages
art. 2761, 19 p. : ill
url
https://doi.org/10.3390/app11062761
subject term
vead
diagnostika (tehnika)
tehisintellekt
kujutuvastus
bioloogilised närvivõrgud
keyword
fault diagnostics
machine learning
artificial intelligence (AI)
pattern recognition
neural networks
ISSN
2076-3417
notes
Special Issue: Advances in Machine Fault Diagnosis
Bibliogr.: 101 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/21100829268
https://www.scopus.com/record/display.uri?eid=2-s2.0-85103497077&origin=inward&txGid=9029ceba645013f373a012320fcc979f
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=APPL%20SCI-BASEL&year=2022
https://www.webofscience.com/wos/woscc/full-record/WOS:000645724300001
category (general)
Engineering
Tehnika
Physics and astronomy
Füüsika ja astronoomia
Chemical engineering
Keemiatehnoloogia
Computer science
Arvutiteadus
Materials science
Materjaliteadus
category (sub)
Engineering. General engineering
Tehnika. Üldine inseneriteadus
Physics and astronomy. Instrumentation
Füüsika ja astronoomia. Instrumentatsioon
Chemical engineering. Fluid flow and transfer processes
Keemiatehnoloogia. Vedeliku voolu- ja ülekandeprotsessid
Computer science. Computer science applications
Arvutiteadus. Arvutiteaduse rakendused
Materials science. General materials science
Materjaliteadus. Üldine materjaliteadus
quartile
Q2
TalTech department
elektroenergeetika ja mehhatroonika instituut
language
inglise
Reserch Group
Electrical machines research group
Mechatronics and autonomous systems centre