Dataset for motor parameters of IPMSM

Citation Author(s):
Yuki
Shimizu
Ritsumeikan University
Submitted by:
Yuki Shimizu
Last updated:
Wed, 09/21/2022 - 22:22
DOI:
10.21227/v4yy-d162
Data Format:
*.csv, *.png (zip)
License:
Creative Commons Attribution
1886 Views
Categories:
Artificial Intelligence
Keywords:
Machine Learning, electric motor, permanent magnet motor, motor design
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Abstract 

This dataset includes the rotor geometry image (*.png) 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.

Attention! This dataset is NOT the result of finite element analysis, but the data generated by machine learning. Check the paper for details.

Instructions: 

The instruction of this dataset follows GitHub and the paper.

Funding Agency: 
JST, ACT-X
Grant Number: 
JPMJAX20AE

Comments

Wonderful article. It's very useful.
It looks like you have put lot of work into this.
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Submitted by radhe xyz on Fri, 10/22/2021 - 01:11

good

Submitted by sung yoonmo on Mon, 05/30/2022 - 11:44

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