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Multi-Rate Vibration Signal Analysis for Enhanced Data-Driven Monitoring of Bearing Faults in Induction Machines

author
statement of authorship
Nada El Bouharrouti, Semen Koveshnikov, Tomas Alberto Garcia-Calva, Milla Vehviläinen, Karolina Kudelina, Usman Muhammad Naseer, Toomas Vaimann, Anouar Belahcen
source
2024 International Conference on Electrical Machines, ICEM 2024
publisher
year of publication
pages
7 p.
conference name, date
2024 International Conference on Electrical Machines (ICEM), 01-04 September 2024
conference location
Torino, Italy
url
ISBN
9798350370607
scientific publication
teaduspublikatsioon
TalTech department
language
English
subject term
keyword
ball bearing
data-driven condition monitoring
frequency spectrum
machine learning
El Bouharrouti, N., Koveshnikov, S., Garcia-Calva, T. A., Vehviläinen, M., Kudelina, K., Naseer, U. M., Vaimann, T., Belahcen, A. Multi-Rate Vibration Signal Analysis for Enhanced Data-Driven Monitoring of Bearing Faults in Induction Machines // 2024 International Conference on Electrical Machines, ICEM 2024. : IEEE, 2024. 7 p.. http://dx.doi.org/10.1109/ICEM60801.2024.10700488