Prediction of IPM Machine Torque Characteristics Using Deep Learning Based on Magnetic Field Distribution

Prediction of IPM Machine Torque Characteristics Using Deep Learning Based on Magnetic Field Distribution

This paper proposes a new method for accurately predicting rotating machine properties using a deep neural network (DNN). In this method, the magnetic field distribution over a cross-section of a rotating machine at a fixed mechanical angle is used as the input data for the DNN. The prediction accur...

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Bibliographic Details
Main Authors: Hidenori Sasaki, Yuki Hidaka, Hajime Igarashi
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Topology optimization
deep learning
IPM motor
finite element method
Online Access:https://ieeexplore.ieee.org/document/9786828/

Internet

https://ieeexplore.ieee.org/document/9786828/

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