Temperature-dependent hysteresis model based on temporal convolutional network
The variation of temperature modifies the magnetic behavior of ferromagnetic cores which may affect the performance of electrical equipment. Therefore, it is imperative to develop a temperature-dependent hysteresis model to precisely calculate electromagnetic characteristics of electrical equipment....
Main Authors: | Hao Zhang, Qingxin Yang, Changgeng Zhang, Yongjian Li, Yifan Chen |
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Format: | Article |
Language: | English |
Published: |
AIP Publishing LLC
2024-02-01
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Series: | AIP Advances |
Online Access: | http://dx.doi.org/10.1063/9.0000824 |
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