Towards end-to-end deep learning performance analysis of electric motors

N Gabdullin, S Madanzadeh, A Vilkin - Actuators, 2021 - mdpi.com
Convolutional Neural Networks (CNNs) and Deep Learning (DL) revolutionized numerous
research fields including robotics, natural language processing, self-driving cars, healthcare …

[PDF][PDF] Study the dynamic performance of PM machines for different rotor topologies

AK Shanshal, AJ Ali, AH Al-Rifaie - International Journal of Power …, 2022 - academia.edu
For hybrid and electric vehicle drive-train (automotive applications) achieving high torque
and efficiency at a wide range of operating conditions can be considered an important …

[PDF][PDF] Improved magnetic behavior of hemicycle PM motor via stator modification.

TC Kwang, ML Mohd Jamil… - International Journal of …, 2020 - pdfs.semanticscholar.org
This article investigates electromagnetic performance of a hemicycle PM motor by
introducing a little modification on both ends of a hemicycle stator. Prior to the investigation …

Towards End-to-end Deep Learning Analysis of Electrical Machines

N Gabdullin, S Madanzadeh, A Vilkin - Authorea Preprints, 2023 - authorea.com
Convolutional Neural Networks (CNNs) and Deep Learning (DL) revolutionized numerous
research fields including robotics, natural language processing, self-driving cars, healthcare …

[PDF][PDF] Design of computerized monitoring and processing system for magnetic field controlling against the phenomenon of black powder in crude oil pipelines

H Attia, S Balhassan - … of Electrical and Computer Engineering (IJECE …, 2020 - academia.edu
Black power represents the main difficulty faced by the oil flow in pipelines. The negative
effect of this powder reaches to stop the oil flow due to clogging the pipelines, in addition to …