print

Signal processing and machine learning techniques for predictive maintenance of rotor bars in induction machine

author
Kudelina, Karolina
Raja, Hadi Ashraf
Rjabtšikov, Viktor
Naseer, Muhammad Usman
Vaimann, Toomas
Kallaste, Ants
statement of authorship
Karolina Kudelina, Hadi Ashraf Raja, Viktor Rjabtšikov, Muhammad Usman Naseer, Toomas Vaimann, Ants Kallaste
source
2023 International Conference on Electrical Drives and Power Electronics (EDPE)
publisher
IEEE
year of publication
2023
pages
7 p. : ill
conference name, date
2023 International Conference on Electrical Drives and Power Electronics (EDPE), 25-27 September 2023
conference location
The High Tatras, Slovakia
url
https://doi.org/10.1109/EDPE58625.2023.10274030
subject term
tehisintellekt
rikked
ennetamine
tehisõpe
tehisnärvivõrgud
keyword
artificial intelligence
fault prediction
predictive maintenance
machine learning
neural network
ISSN
2770-7652
ISBN
979-8-3503-2275-0
notes
Bibliogr.: 21 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TTÜ department
elektroenergeetika ja mehhatroonika instituut
language
inglise
Uurimisrühm
Electrical machines research group
Kudelina, K., Raja, H. A., Rjabtšikov, V., Naseer, M. U., Vaimann, T., Kallaste, A. Signal processing and machine learning techniques for predictive maintenance of rotor bars in induction machine // 2023 International Conference on Electrical Drives and Power Electronics (EDPE). : IEEE, 2023. 7 p. : ill. https://doi.org/10.1109/EDPE58625.2023.10274030