Parameter Identification of J-A Modified Model of Fe-Based Amorphous Nanocrystalline Magnetic Materials Based on Improved Gray Wolf Algorithm-Reference-Cited by-同舟云学术

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Parameter Identification of J-A Modified Model of Fe-Based Amorphous Nanocrystalline Magnetic Materials Based on Improved Gray Wolf Algorithm

Published:2024-04-26 Issue: Volume: Page:24-28
ISSN:
Container-title:2024 7th International Conference on Energy, Electrical and Power Engineering (CEEPE)
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Author:

Qu Zeqing¹,Zhai Shaolei²,Wei Ling²,Pei Jianyun³,Gan Yijun¹,Ding Can⁴

Affiliation:

1. Power Grid Co. Ltd,Kunming Power Supply Bureau of Yunnan,Kunming,China

2. Power Grid Co. Ltd,Electric Power Research Institute of Yunnan,Kunming,China

3. Yunnan Power Grid Co. Ltd,Kunming,China

4. China Three Gorges University,School of Electrical and New Energy,Yichang,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10586275/10586277/10586575.pdf?arnumber=10586575

Reference8 articles.

1. Influence of the Selection of the Core Shape and Winding Arrangement on the Accuracy of Current Transformers with Through-Going Primary Cable

2. On the Transformer Core Dynamic Behavior During Electromagnetic Transients

3. An Efficient Implementation of the Classical Preisach Model

4. Core Loss Calculation Based on Finite-Element Method With Jiles–Atherton Dynamic Hysteresis Model

5. Neural Network Model for Magnetization Characteristics of Ferromagnetic Materials

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