Md Billah

School common, ELEC
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/...

Contact information

Postal address
Maarintie 8 02150 Espoo Finland
Phone number
+358401585354

Research groups

  • Computational Electromechanics, Doctoral Researcher

Publications

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

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 2023 IEEE Transactions on Magnetics

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

Effective Implementation of the Effect of Electrical Steel Sheet Cutting into Finite-Element Simulation

Ismet Tuna Gurbuz, Floran Martin, Md Masum Billah, Anouar Belahcen, Paavo Rasilo 2022 CEFC 2022 - 20th Biennial IEEE Conference on Electromagnetic Field Computation, Proceedings

Application of surrogate optimization routine with clustering technique for optimal design of an induction motor

Aswin Balasubramanian, Floran Martin, Md Masum Billah, Osaruyi Osemwinyen, Anouar Belahcen 2021 Energies

A computationally effective method for iron loss estimation in a synchronous machine from a static field solution

Md Masum Billah, Floran Martin, Anouar Belahcen 2020 Proceedings of the 2020 International Conference on Electrical Machines, ICEM 2020