Nada El Bouharrouti
Doctoral Researcher
Doctoral Researcher
T410 Dept. Electrical Engineering and Automation
Doctoral Researcher
Department of Electrical Engineering and Automation
Doctoral Researcher
Computational Electromechanics
Full researcher profile
https://research.aalto.fi/...
Email
[email protected]
Research groups
- Computational Electromechanics, Doctoral Researcher
Publications
Multi-Rate Vibration Signal Analysis for Enhanced Data-Driven Monitoring of Bearing Faults in Induction Machines
Nada El Bouharrouti, Semen Koveshnikov, Tomas Alberto Garcia-Calva, Milla Vehvilainen, Karolina Kudelina, Usman Muhammad Naseer, Toomas Vaimann, Anouar Belahcen
2024
2024 International Conference on Electrical Machines, ICEM 2024
Broken Rotor Bar Fault Detection Using Machine Learning: Optimal Frequency Resolution
Semen Koveshnikov, Nada El Bouharrouti, Karolina Kudelina, Muhammad Usman Naseer, Toomas Vaimann, Anouar Belahcen
2024
Proceedings of the International Conference on Electrical Machines (ICEM)
3D Multibody Simulation of Realistic Rolling Bearing Defects for Fault Classifier Development
Milla Vehvilainen, Mikko Tahkola, Janne Keranen, Nada El Bouharrouti, Pekka Rahkola, Jari Halme, Jenni Pippuri-Makelainen, Anouar Belahcen
2024
2024 International Conference on Electrical Machines, ICEM 2024
Multi-Rate Vibration Signal Analysis for Bearing Fault Detection in Induction Machines Using Supervised Learning Classifiers
Nada El Bouharrouti, Daniel Morinigo-Sotelo, Anouar Belahcen
2023
Machines
Radial Lumped-parameter Model of a Ball Bearing for Simulated Fault Signatures
Nada El Bouharrouti, Floran Martin, Anouar Belahcen
2023
Proceedings of the 2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2023