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Neuro-fuzzy approach for fault prediction of mechanical bearing faults using vibration analysis

author
Shirokova, Veroonika
Kudelina, Karolina
Raja, Hadi Ashraf
Rjabtšikov, Viktor
Baraškova, Tatjana
Nutonen, Karle
statement of authorship
Veroonika Shirokova, Karolina Kudelina, Hadi Ashraf Raja, Viktor Rjabtšikov, Tatjana Baraškova, Karle Nutonen
source
IECON Proceedings (Industrial Electronics Conference)
IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society
publisher
IEEE
year of publication
2024
pages
p. 1-6
conference name, date
IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society, 3-6 November 2024
conference location
Chichago, USA
url
https://doi.org/10.1109/IECON55916.2024.10905990
subject term
tehisintellekt
laagrid (tehnika)
elektrimootorid
hägusloogika
veaavastus
tehisõpe
keyword
artificial intelligence (AI)
bearings
condition monitoring
electric motors
fault detection
fuzzy logic
machine learning (ML)
predictive maintenance
ISBN
978-1-6654-6454-3
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
Virumaa College
Department of Electrical Power Engineering and Mechatronics
language
English
Shirokova, V., Kudelina, K., Raja, H. A., Rjabtšikov, V., Baraškova, T., Nutonen, K. Neuro-fuzzy approach for fault prediction of mechanical bearing faults using vibration analysis // IECON Proceedings (Industrial Electronics Conference), IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society. : IEEE, 2024. p. 1-6. https://doi.org/10.1109/IECON55916.2024.10905990