Implementation and Evaluation of Machine Learning Algorithms in Ball Bearing Fault Detection Cover

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Implementation and Evaluation of Machine Learning Algorithms in Ball Bearing Fault Detection

Measurement Science Review

Volume 25 (2025): Issue 1 (February 2025)

By: Pavle Stepanić , Nedeljko Dučić , Jelena Vidaković , Jelena Baralić and Marko Popović

Open Access

|Apr 2025

Authors

Pavle Stepanić

pavle.stepanic@li.rs

Research and Development Institute Lola L.t.d., Belgrade, Serbia

Nedeljko Dučić

nedeljko.ducic@ftn.kg.ac.rs

Faculty of Technical Sciences Čačak, University of Kragujevac, Čačak, Serbia

Jelena Vidaković

jelena.vidakovic@li.rs

Research and Development Institute Lola L.t.d., Belgrade, Serbia

Jelena Baralić

jelena.baralic@ftn.kg.ac.rs

Faculty of Technical Sciences Čačak, University of Kragujevac, Čačak, Serbia

Marko Popović

marko.popovic@ftn.kg.ac.rs

Faculty of Technical Sciences Čačak, University of Kragujevac, Čačak, Serbia

DOI: https://doi.org/10.2478/msr-2025-0004 | Journal eISSN: 1335-8871

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Language: English

Page range: 22 - 29

Submitted on: Apr 12, 2024

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Accepted on: Mar 7, 2025

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Published on: Apr 12, 2025

Published by: Slovak Academy of Sciences, Institute of Measurement Science

In partnership with: Paradigm Publishing Services

Publication frequency: Volume open

Keywords:

vibration measurement,

machine learning,

fault detection

Related subjects:

Electrical engineering,

Control engineering, metrology and testing

© 2025 Pavle Stepanić, Nedeljko Dučić, Jelena Vidaković, Jelena Baralić, Marko Popović, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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