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Intelligent Bearing Fault Diagnostic Approach Based on Mcsa and Deep Learning Cover

Intelligent Bearing Fault Diagnostic Approach Based on Mcsa and Deep Learning

Acta Mechanica et Automatica
Volume 20 (2026): Issue 2 (June 2026)
By: ,   and    
Open Access
|Jul 2026
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DOI: https://doi.org/10.65731/ama/2026-0039 | Journal eISSN: 2300-5319 | Journal ISSN: 1898-4088
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Language: English
Page range: 389 - 396
Submitted on: Oct 24, 2025
Accepted on: May 17, 2026
Published on: Jul 16, 2026
Published by: Bialystok University of Technology
In partnership with: Paradigm Publishing Services
Keywords:
deep neural network,
induction motor,
bearing failure,
MCSA,
intelligent diagnosis,
CNN,
LSTM
Related subjects:
Engineering,
Mechanical engineering,
Mechanics,
Engineering,
Bioengineering and biomedical engineering,
Biomechanics,
Engineering,
Civil engineering,
Environmental engineering

© 2026 Harida Issam, Bouras Abdelkarim, Bouras Hichem, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 20 (2026): Issue 2 (June 2026)
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