| Multi-rate vibration signal analysis for bearing fault detection in induction machines using supervised learning classifiers N El Bouharrouti, D Morinigo-Sotelo, A Belahcen Machines 12 (1), 17, 2023 | 5 | 2023 |
| Radial lumped-parameter model of a ball bearing for simulated fault signatures N El Bouharrouti, F Martin, A Belahcen 2023 IEEE 14th International Symposium on Diagnostics for Electrical …, 2023 | 3 | 2023 |
| Multi-Rate Vibration Signal Analysis for Enhanced Data-Driven Monitoring of Bearing Faults in Induction Machines N El Bouharrouti, S Koveshnikov, TA Garcia-Calva, M Vehviläinen, ... 2024 International Conference on Electrical Machines (ICEM), 1-7, 2024 | 2 | 2024 |
| Co‐simulations of induction machines coupled with a radial ball bearing for mechanical defects analysis N El Bouharrouti, M Sitnikov, A Hemeida, F Martin, K Kudelina, ... IET Electric Power Applications, 2025 | | 2025 |
| Broken Rotor Bar Fault Detection Using Machine Learning: Optimal Frequency Resolution S Koveshnikov, N El Bouharrouti, K Kudelina, UM Naseer, T Vaimann, ... 2024 International Conference on Electrical Machines (ICEM), 1-6, 2024 | | 2024 |
| 3D Multibody Simulation of Realistic Rolling Bearing Defects for Fault Classifier Development M Vehviläinen, M Tahkola, J Keränen, N El Bouharrouti, P Rahkola, ... 2024 International Conference on Electrical Machines (ICEM), 1-7, 2024 | | 2024 |
| Deep Transfer Learning Approach Using Filtered Time-Frequency Representations of Current Signals for Bearing Fault Detection in Induction Machines N El Bouharrouti, AN Saberi, MDH Khan | | |