print

Preliminary analysis of global parameters of induction machine for fault prediction in rotor bars

author
Kudelina, Karolina
Raja, Hadi Ashraf
Autsou, Siarhei
Asad, Bilal
Vaimann, Toomas
Rassõlkin, Anton
Kallaste, Ants
statement of authorship
Karolina Kudelina, Hadi Ashraf Raja, Siarhei Autsou, Bilal Asad, Toomas Vaimann, Anton Rassõlkin, Ants Kallaste
source
2022 IEEE 20th International Power Electronics and Motion Control Conference (PEMC) : Brasov, Romania, 25-28 Sept. 2022 : proceedings
publisher
IEEE
year of publication
2022
pages
p. 243-248 : ill
conference name, date
2022 IEEE 20th International Power Electronics and Motion Control Conference (PEMC) : 25-28 Sept. 2022
conference location
Brasov, Romania
url
https://doi.org/10.1109/PEMC51159.2022.9962922
subject term
tehisintellekt
elektrimootorid
rikked
tehisõpe
algoritmid
rootorid
keyword
artificial intelligence
condition monitoring
electric motors
fault detection
machine learning
prediction algorithms
predictive maintenance
rotating machines
rotors
torque control
ISBN
978-1-6654-9681-0
notes
Bibliogr.: 11 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TTÜ department
elektroenergeetika ja mehhatroonika instituut
language
inglise
Uurimisrühm
Electrical machines research group
Mechatronics and autonomous systems centre
Kudelina, K., Raja, H.A., Autsou, S., Asad, B., Vaimann, T., Rassõlkin, A., Kallaste, A. Preliminary analysis of global parameters of induction machine for fault prediction in rotor bars // 2022 IEEE 20th International Power Electronics and Motion Control Conference (PEMC) : Brasov, Romania, 25-28 Sept. 2022 : proceedings. : IEEE, 2022. p. 243-248 : ill. https://doi.org/10.1109/PEMC51159.2022.9962922