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Deep Neural Network-Based Fault Diagnosis for Predictive Maintenance of Induction Motors Cover

Deep Neural Network-Based Fault Diagnosis for Predictive Maintenance of Induction Motors

The Scientific Bulletin of Electrical Engineering Faculty
Volume 25 (2025): Issue 2 (December 2025)
By: Ionut-Catalin Munteanu,  Emil Cazacu and  Marilena Stanculescu  
Open Access
|Mar 2026

Authors

Ionut-Catalin Munteanu

ionut.munteanu2409@stud.electro.upb.ro

National University of Science and Technology POLITEHNICA Bucharest, Romania, Faculty of Electrical Engineering, Bucharest, Romania

Emil Cazacu

emil.cazacu@upb.ro

National University of Science and Technology POLITEHNICA Bucharest, Romania, Faculty of Electrical Engineering, Bucharest, Romania

Marilena Stanculescu

marilena.stanculescu@upb.ro

National University of Science and Technology POLITEHNICA Bucharest, Romania, Faculty of Electrical Engineering, Bucharest, Romania
DOI: https://doi.org/10.2478/sbeef-2025-0023 | Journal eISSN: 2286-2455 | Journal ISSN: 1843-6188
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Language: English
Page range: 55 - 60
Published on: Mar 3, 2026
Published by: Valahia University of Targoviste
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
predictive maintenance,
induction motor,
fault diagnosis,
deep learning,
convolutional neural networks,
MATLAB/Simulink
Related subjects:
Engineering,
Electrical engineering,
Fundamentals of electrical engineering,
Bioengineering and biomedical engineering,
Biomedical electronics

© 2026 Ionut-Catalin Munteanu, Emil Cazacu, Marilena Stanculescu, published by Valahia University of Targoviste
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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