Personer

Nada El Bouharrouti

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/...

E-post

[email protected]

Forskningsgrupp

Computational Electromechanics, Doctoral Researcher

Publikationer

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