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Implementation of the first order reversal curve method for identification of weight function in Preisach model for ferromagnetics

机译:一阶反转曲线法在铁磁Preisach模型中权重函数识别的实现

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摘要

Usually analytical weighting function is used in Preisach model application, since the use of derivation of experimental first order reverse curves exhibits large errors. To reduce the errors, extended experiments and methods for reduction of experimental errors are presented in the paper. Weighting function obtained by numeric derivation leads to acceptable agreement with experiments in Preisach model. Further improvement can be obtained by suggested reduction of remaining errors in experimental data.
机译:通常,在Preisach模型应用中使用分析加权函数,因为使用实验一阶反向曲线的推导会产生较大的误差。为了减少误差,本文提出了扩展实验和减少实验误差的方法。通过数值推导获得的加权函数导致与Preisach模型中的实验可接受的一致性。建议通过减少实验数据中的剩余误差来获得进一步的改进。

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