Data-Driven Methods for Design and Analysis of Electromagnetic Devices-Reference-Cited by-同舟云学术

Data-Driven Methods for Design and Analysis of Electromagnetic Devices

Published:2023-10-25 Issue:21 Volume:13 Page:11674
ISSN:2076-3417
Container-title:Applied Sciences
language:en
Short-container-title:Applied Sciences

Author:

Lei Gang¹^ORCID,Guo Youguang¹^ORCID,Zhu Jianguo²^ORCID,Zhang Yujiao³

Affiliation:

1. School of Electrical and Data Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia

2. School of Electrical and Information Engineering, The University of Sydney, Camperdown, NSW 2006, Australia

3. School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China

Abstract

Electromagnetic devices, such as electrical drive systems for electric vehicles, have been widely employed in domestic and industrial equipment [...]

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Link

https://www.mdpi.com/2076-3417/13/21/11674/pdf

Reference10 articles.

1. Wu, H., Niu, S., Zhang, Y., and Fu, W. (2022). Physics-Informed Generative Adversarial Network-Based Modeling and Simulation of Linear Electric Machines. Appl. Sci., 12.

2. Raia, M., Ciceo, S., Chauvicourt, F., and Martis, C. (2023). Multi-Attribute Machine Learning Model for Electrical Motors Performance Prediction. Appl. Sci., 13.

3. Huang, Z., Chau, A., Niu, S., Zhao, X., and Xue, Z. (2023). Design Optimization and Comparative Study of a Novel Halbach Permanent Magnet Vernier Machine with Alternate Flux Bridge. Appl. Sci., 13.

4. Mendizabal, M., McCloskey, A., Poza, J., Zarate, S., and Irazu, L. (2023). Sensitivity Analysis of the Design Parameters of Permanent Magnet Synchronous Motors for Vibration Reduction. Appl. Sci., 13.

5. Du, G., Hu, C., Zhou, Q., Gao, W., and Zhang, Q. (2022). Multi-Objective Optimization for Outer Rotor Low-Speed Permanent Magnet Motor. Appl. Sci., 12.