Anouar Belahcen
Professor
Professor
T410 Dept. Electrical Engineering and Automation
Varadekaani
Koulun palvelutoiminnot
I do research in the field of magnetic materials modelling and numerical analysis of energy conversion devices. My interests are the losses in electrical machines, model order reduction methods, Multi-scale modelling of electrical steel, diagnosis and condition monitoring of electrical machines, magnetomechanics, and noise and vibrations, among others
Full researcher profile
https://research.aalto.fi/...
Kompetensområde
, 213 Sähkö-, automaatio- ja tietoliikennetekniikka, elektroniikka, Sähkötekniikka, Sähkövoimatekniikka, Metallit, Laskennallinen tiede
Forskningsgrupp
- Computational Electromechanics
Publikationer
A new methodology for incorporating the cutting deterioration of electrical sheets into electromagnetic finite-element simulation
I. T. Gürbüz, F. Martin, P. Rasilo, M. M. Billah, A. Belahcen
2024
Journal of Magnetism and Magnetic Materials
Magnetic Equivalent Circuit and Lagrange Interpolation Function Modeling of Induction Machines Under Broken Bar Faults
Ahmed Hemeida, Md Masum Billah, Karolina Kudelina, Bilal Asad, Muhammad U. Naseer, Baocheng Guo, Floran Martin, Paavo Rasilo, Anouar Belahcen
2024
IEEE Transactions on Magnetics
Thermodynamic description for magneto-plastic coupling in electrical steel sheets
J. Taurines, F. Martin, P. Rasilo, A. Belahcen
2024
Journal of Magnetism and Magnetic Materials
Adapting geometry-based polygonal contacts for simulating faulty rolling bearing dynamics
Milla Vehviläinen, Pekka Rahkola, Janne Keränen, Jari Halme, Jussi Sopanen, Olli Liukkonen, Antti Holopainen, Kari Tammi, Anouar Belahcen
2024
Mechanism and Machine Theory
Magnetic Material Modelling of Electrical Machines
Anouar Belahcen, Armando Pires, Vitor Fernão Pires
2023
Energies
Special Issue "Magnetic Material Modelling of Electrical Machines"
Anouar Belahcen, Armando Pires, Victor Fernão Pires
2023
Energies
Generation of Unmeasured Loading Levels Data for Condition Monitoring of Induction Machine Using Machine Learning
Md Masum Billah, Alireza Nemat Saberi, Ahmed Hemeida, Floran Martin, Karolina Kudelina, Bilal Asad, Muhammad U. Naseer, Victor Mukherjee, Anouar Belahcen
2023
IEEE Transactions on Magnetics
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
An Energy-Based Anisotropic Vector Hysteresis Model for Rotational Electromagnetic Core Loss
Ruiying Chen, Floran Martin, Yongjian Li, Shuaichao Yue, Anouar Belahcen
2023
IEEE Transactions on Industrial Electronics