Dataset for Iron Losses of IPMSMs

Citation Author(s):
Yuki
Shimizu
Ritsumeikan University
Submitted by:
Yuki Shimizu
Last updated:
Wed, 12/28/2022 - 20:50
DOI:
10.21227/18kr-b698
Data Format:
*.csv; *.zip
License:
Creative Commons Attribution
546 Views
Categories:
Artificial Intelligence
Keywords:
Machine Learning, electric motor, permanent magnet motor, motor design
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Abstract 

This dataset includes the rotor geometrical parameters (*.csv) and motor parameters (*.csv) of interior permanent magnet synchronous motors. The rotor geometry covers three structures: 2D-, V-, and Nabla-structures. The motor parameters are generated by machine learning based on the finite element analysis results. The software JMAG Designer 19.1 was used for the finite element analysis.

 

Instructions: 

The instruction of this dataset follows GitHub and the paper.

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