基于神经网络和游戏模型的快速迟滞分析

IF 1.4 4区工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Iet Science Measurement & Technology Pub Date : 2024-11-17 DOI:10.1049/smt2.12227

Takuto Jibiki, Hajime Igarashi

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引用次数: 0

摘要

本文提出了一种基于神经网络的快速磁滞损耗分析方法，该方法可根据磁芯中磁通密度的波形预测磁滞损耗。用于训练神经网络的磁滞损耗数据是通过 play 模型计算得出的，该模型能准确解释磁滞特性，如小环路和直流偏置。拟议方法的损耗分析速度比传统方法快 2000 倍。当谐波成分叠加在输入波形上，以及对大量不同波形进行损耗分析时，所提出的方法非常有效。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

A fast hysteresis analysis based on neural network and play model

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A fast hysteresis analysis based on neural network and play model

This paper presents a fast hysteresis loss analysis method based on neural network, which predicts the hysteresis loss from the waveform of the magnetic flux density in a magnetic core. The hysteresis loss data used to train the neural network is computed using the play model which can accurately account for hysteresis characteristics such as minor loops and DC bias. The proposed method can perform loss analysis 2,000 times faster than conventional methods. The proposed method is highly effective when harmonic components are superimposed on the input waveforms and when loss analysis is performed for a large number of different waveforms.

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来源期刊

Iet Science Measurement & Technology 工程技术-工程：电子与电气

CiteScore

4.30

自引率

7.10%

发文量

审稿时长

7.5 months

期刊介绍： IET Science, Measurement & Technology publishes papers in science, engineering and technology underpinning electronic and electrical engineering, nanotechnology and medical instrumentation.The emphasis of the journal is on theory, simulation methodologies and measurement techniques. The major themes of the journal are: - electromagnetism including electromagnetic theory, computational electromagnetics and EMC - properties and applications of dielectric, magnetic, magneto-optic, piezoelectric materials down to the nanometre scale - measurement and instrumentation including sensors, actuators, medical instrumentation, fundamentals of measurement including measurement standards, uncertainty, dissemination and calibration Applications are welcome for illustrative purposes but the novelty and originality should focus on the proposed new methods.