Trends and challenges in intelligent condition monitoring of electrical machines using machine learning K Kudelina, T Vaimann, B Asad, A Rassőlkin, A Kallaste, G Demidova Applied Sciences 11 (6), 2761, 2021 | 93 | 2021 |
A review on additive manufacturing possibilities for electrical machines MU Naseer, A Kallaste, B Asad, T Vaimann, A Rassőlkin Energies 14 (7), 1940, 2021 | 73 | 2021 |
Opportunities and challenges of utilizing additive manufacturing approaches in thermal management of electrical machines PS Ghahfarokhi, A Podgornovs, A Kallaste, AJM Cardoso, A Belahcen, ... Ieee Access 9, 36368-36381, 2021 | 66 | 2021 |
Broken rotor bar fault detection of the grid and inverter‐fed induction motor by effective attenuation of the fundamental component B Asad, T Vaimann, A Belahcen, A Kallaste, A Rassőlkin, MN Iqbal IET Electric Power Applications 13 (12), 2005-2014, 2019 | 62 | 2019 |
AC magnetic loss reduction of SLM processed Fe-Si for additive manufacturing of electrical machines H Tiismus, A Kallaste, A Belahcen, M Tarraste, T Vaimann, A Rassőlkin, ... Energies 14 (5), 1241, 2021 | 48 | 2021 |
Broken Rotor Bar Fault Diagnostic of Inverter Fed Induction Motor Using FFT, Hilbert and Park's Vector Approach B Asad, T Vaimann, A Belahcen, A Kallaste 2018 XIII International Conference on Electrical Machines (ICEM), 1-7, 2018 | 44 | 2018 |
Life cycle analysis of electrical motor-drive system based on electrical machine type A Rassőlkin, A Belahcen, A Kallaste, T Vaimann, DV Lukichev, S Orlova, ... Proceedings of the Estonian Academy of Sciences 69 (2), 162-177, 2020 | 43 | 2020 |
Methods of condition monitoring and fault detection for electrical machines K Kudelina, B Asad, T Vaimann, A Rassőlkin, A Kallaste, HV Khang Energies 14 (22), 7459, 2021 | 39 | 2021 |
Modified Winding Function-based Model of Squirrel Cage Induction Motor for Fault Diagnostics B Asad, T Vaimann, A Belahcen, A Kallaste, A Rassőlkin, M Naveed Iqbal IET Electric Power Applications, 1-13, 2020 | 38* | 2020 |
Main faults and diagnostic possibilities of BLDC motors K Kudelina, B Asad, T Vaimann, A Rassolkin, A Kallaste, DV Lukichev 2020 27th international workshop on electric drives: MPEI department of …, 2020 | 36 | 2020 |
The bearing faults detection methods for electrical machines—the state of the art MA Khan, B Asad, K Kudelina, T Vaimann, A Kallaste Energies 16 (1), 296, 2022 | 32 | 2022 |
Bearing fault analysis of bldc motor for electric scooter application K Kudelina, B Asad, T Vaimann, A Belahcen, A Rassőlkin, A Kallaste, ... Designs 4 (4), 42, 2020 | 31 | 2020 |
A review on future power systems; technologies and research for smart grids M Sarwar, B Asad 2016 international conference on emerging technologies (ICET), 1-6, 2016 | 30 | 2016 |
Interface development for digital twin of an electric motor based on empirical performance model A Rassőlkin, V Rjabtšikov, V Kuts, T Vaimann, A Kallaste, B Asad, ... IEEE Access 10, 15635-15643, 2022 | 27 | 2022 |
The cluster computation-based hybrid FEM–analytical model of induction motor for fault diagnostics B Asad, T Vaimann, A Belahcen, A Kallaste, A Rassőlkin, MN Iqbal Applied Sciences 10 (21), 7572, 2020 | 27 | 2020 |
Estimation of harmonic emission of electric vehicles and their impact on low voltage residential network MN Iqbal, L Kütt, K Daniel, B Asad, P Shams Ghahfarokhi Sustainability 13 (15), 8551, 2021 | 24 | 2021 |
Induction motor bearing currents-causes and damages K Kudelina, T Vaimann, A Rassőlkin, A Kallaste, B Asad, G Demidova 2021 28th International workshop on electric drives: improving reliability …, 2021 | 23 | 2021 |
Review of Electrical Machine Diagnostic Methods Applicability in the Perspective of Industry 4.0 B Asad, T Vaimann, A Rassőlkin, A Kallaste, A Belahcen Electrical, Control and Communication Engineering 14 (2), 108-116, 2018 | 22 | 2018 |
A Survey of Broken Rotor Bar Fault Diagnostic Methods of Induction Motor B Asad, T Vaimann, A Rassőlkin, A Kallaste, A Belahcen Electrical, Control and Communication Engineering 14 (2), 117-124, 2018 | 22 | 2018 |
State-of-the-art techniques for fault diagnosis in electrical machines: advancements and future directions S Akbar, T Vaimann, B Asad, A Kallaste, MU Sardar, K Kudelina Energies 16 (17), 6345, 2023 | 18 | 2023 |