print

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
Journal metrics at Scopus
Article at Scopus
WOS
Journal metrics at WOS
Article at WOS
category (general)
Mathematics
Engineering
Energy
category (sub)
Mathematics. Control and optimization
Engineering. Engineering (miscellaneous)
Engineering. Electrical and electronic engineering
Energy. Energy engineering and power technology
Energy. Energy (miscellaneous)
Energy. Fuel technology
Energy. Renewable energy, sustainability and the environment
kvartiil
Q2
TTÜ department
elektroenergeetika ja mehhatroonika instituut
language
inglise
Uurimisrühm
Electrical machines research group
Mechatronics and autonomous systems centre
Kudelina, K., Asad, B., Vaimann, T., Rassõlkin, A., Kallaste, A., Khang, H.V. Methods of condition monitoring and fault detection for electrical machines // Energies (2021) vol. 14(22), art. 7459, 20 p. : ill. https://doi.org/10.3390/en14227459