Anouar Belahcen
Professor
Professor
T410 Dept. Electrical Engineering and Automation
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/...
Areas of expertise
Electrical Machines, Electromagnetic field computation, Magnetic material modelling, Magnetostriction, Magneto-elasticity, Energy conversion, 213 Electronic, automation and communications engineering, electronics, Electrical engineering, Electric power engineering, Metals, Computational science
Research groups
- Computational Electromechanics
Publications
Optimization of a High-Speed Synchronous Reluctance Machine's Rotor Topology
Anouar Belahcen, Maksim A. Sitnikov, Sergey A. Galunin
2022
Proceedings of International Conference on Electrotechnical Complexes and Systems, ICOECS 2021
Uncertainty Quantification of Input Parameters in a 2D Finite-Element Model for Broken Rotor Bar in an Induction Machine
Md Masum Billah, Floran Martin, Anouar Belahcen, Aswin Balasubramanian, Toomas Vaimann, Jan Sobra
2022
IEEE Transactions on Magnetics
The Oil Spray Cooling System of Automotive Traction Motors: The State of the Art
Payam Shams Ghahfarokhi, Andrejs Podgornovs, Ants Kallaste, Antonio J. Marques Cardoso, Anouar Belahcen, Toomas Vaimann
2022
IEEE Transactions on Transportation Electrification
2D Analytical Model for Computing Eddy-Current Loss in Nonlinear Thick Steel Laminations
Ismet Gurbuz, Paavo Rasilo, Floran Martin, Osaruyi Osemwinyen, Anouar Belahcen
2022
IEEE Transactions on Magnetics
Experimental characterization of the effect of uniaxial stress on magnetization and iron losses of electrical steel sheets cut by punching process
I.T. Gürbüz, F. Martin, Ugur Aydin, A.B. Asaf Ali, M. Chamosa, P. Rasilo, A. Belahcen
2022
Journal of Magnetism and Magnetic Materials
Determination of core losses using an inverse modeling technique
Osaruyi Osemwinyen, Ahmed Hemeida, Floran Martin, Ismet Tuna Gurbuz, Payam Shams Ghahfarokhi, Anouar Belahcen
2022
IEEE Access
Cost-efficient real-time condition monitoring and fault diagnostics system for BLDC motor using IoT and Machine learning
Hadi Ashraf Raja, Hardik Raval, Toomas Vaimann, Ants Kallaste, Anton Rassolkin, Anouar Belahcen
2022
Diagnostika 2022 - 2022 International Conference on Diagnostics in Electrical Engineering, Proceedings
Custom Simplified Machine Learning Algorithms for Fault Diagnosis in Electrical Machines
Hadi Ashraf Raja, Bilal Asad, Toomas Vaimann, Ants Kallaste, Anton Rassolkin, Anouar Belahcen
2022
Diagnostika 2022 - 2022 International Conference on Diagnostics in Electrical Engineering, Proceedings
LightGBM-Based Fault Diagnosis of Rotating Machinery Under Changing Working Conditions Using Modified Recursive Feature Elimination
Alireza Nemat Saberi, Anouar Belahcen, Jan Sobra, Toomas Vaimann
2022
IEEE Access
Carbon Fiber Homogenization for Modelling Sleeve of High-Speed Electrical Machines
Maksim A. Sitnikov, Anouar Belahcen
2022
2022 International Conference on Electrical Machines, ICEM 2022