Equivalent motor radiation of an electric vehicle based on neural network approach
Y Yu, X Du, B Xu, C Wang, L Xiao… - … on Antennas and …, 2019 - ieeexplore.ieee.org
The feedforward neural network method is utilized in this paper for predicting the desired
electromagnetic radiation properties of the motor of an electric vehicle. The neural network is …
electromagnetic radiation properties of the motor of an electric vehicle. The neural network is …
On the modeling of a DC motor in electric vehicle's EMC studies
B Xu, Y Yu, X Du, L Xiao, C Wang - … Symposium on Antennas …, 2019 - ieeexplore.ieee.org
In this paper, the feasibility of replacing the motor system of an electric vehicle in numerical
simulations by a monopole or dipole antenna model is studied and reported. Modeling …
simulations by a monopole or dipole antenna model is studied and reported. Modeling …
A Fast Calculation Method of Electromagnetic Parameters of Superconducting Magnet Based on Generating Convolution Network
L Zhu, Y Wang, G Zhang, Y Wang - The Proceedings of the 9th Frontier …, 2021 - Springer
In the process of designing magnets stacked by the second-generation superconducting
ReBCO annular plates, the magnetic field distribution under the assumed current distribution …
ReBCO annular plates, the magnetic field distribution under the assumed current distribution …
[引用][C] Optimization of Electromagnetic Interference Measurement by Convolutional Neural Network
H Elias, N Perez, H Hirsch - … Journal of Electronics and Communication Engineering, 2023