Personer

Semen Koveshnikov

Doctoral Researcher

T410 Dept. Electrical Engineering and Automation

Full researcher profile

https://research.aalto.fi/...

E-post

semen.koveshnikov@aalto.fi

Kompetensområde

Machine Learning, Fault Detection, Electrical Motors

Forskningsgrupp

Computational Electromechanics, Doctoral Researcher

Publikationer

Induction Motor Multifault Detection Using Machine Learning: Improving Model Accuracy With Current Signal Preprocessing

Semen Koveshnikov, Nada El Bouharrouti, Anouar Belahcen, Alireza Nemat Saberi 2026 IET Electric Power Applications

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)