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Bilal Asad
Bilal Asad
Tallinn University of Technology, Aalto University Finland
Verified email at iub.edu.pk
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Year
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
762021
A review on additive manufacturing possibilities for electrical machines
MU Naseer, A Kallaste, B Asad, T Vaimann, A Rassőlkin
Energies 14 (7), 1940, 2021
612021
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
562021
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
562019
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
422021
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
362018
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
35*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
322020
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
312021
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
302020
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
282020
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
272016
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
232020
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
212022
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
212018
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
192018
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
182021
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
172022
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
172021
Transient Modeling and Recovery of Non-Stationary Fault Signature for Condition Monitoring of Induction Motors
B Asad, T Vaimann, A Belahcen, A Kallaste, A Rassőlkin, PS Ghafarokhi, ...
Applied Sciences 11 (6), 2806, 2021
162021
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