Energy loss prediction in nonoriented materials using machine learning techniques: A novel approach
Author:
Affiliation:
1. Department of Electrical EngineeringSarhad University of Science and Information Technology Peshawar Pakistan
2. Department of Computer Science and Information TechnologySarhad University of Science and Information Technology Peshawar Pakistan
Publisher
Wiley
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/ett.3797
Reference23 articles.
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3. SulaimanE KosakaT TsujimoriY MatsuiN.Design of 12‐slot 10‐pole permanant magnet flux‐switching machine with hybrid excitation for hybrid electric vehicle. Paper presented at: 5th IET International Conference on Power Electronics Machines and Drives (PEMD 2010);2010;Brighton UK.
4. Counterclockwise/clockwise (CCW/CW) rotational losses under high magnetic field;Todaka T;Prezglad Elektrotechniczny,2009
5. Magnetic losses at high flux densities in nonoriented Fe–Si alloys;Appino C;J Magn Magn Mater,2008
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