11th International Scientific Conference Research and Development of Mechanical Elements and Systems IRMES (2025) [pp. 5-12]
AUTHOR(S) / AUTOR(I): Ivan KNEŽEVIĆ 
, Milan RACKOV , Aleksandar ŽIVKOVIĆ , Mirjana BOJANIĆ ŠEJAT , Željko KANOVIĆ
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DOI: 10.46793/IRMES25.005K
ABSTRACT / SAŽETAK:
Deep groove ball bearings are one of the most commonly used shaft support. Beside material quality, internal geometry of bearing raceways has the key role in bearing quality. One of the most common ways to inspect bearing quality is measuring of the vibration level. Paper presents analysis of the influence of waviness of the raceways on the vibrations. Axial load were investigated as influential factor. Experimental data were analyzed, and neural network was trained to analyze dynamic behaviour of ball bearing. Prediction of neural network is used for determination of correlation between analyzed factors and vibration level in three frequency bands.
KEYWORDS / KLJUČNE REČI:
waviness; axial load; ball bearing; neural network, analysis
ACKNOWLEDGEMENT / PROJEKAT:
This research has been supported by the Ministry of Science, Technological Development and Innovation (Contract No. 451-03-137/2025-03/200156) and the Faculty of Technical Sciences, University of Novi Sad through project “Scientific and Artistic Research Work of Researchers in Teaching and Associate Positions at the Faculty of Technical Sciences, University of Novi Sad 2025” (No. 01-50/295).
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