Theoretical model for the time-frequency spectrum of magnetic Barkhausen noise

IF 4.5 2区材料科学 Q1 MATERIALS SCIENCE, CHARACTERIZATION & TESTING

Ndt & E International Pub Date : 2025-09-17 DOI:10.1016/j.ndteint.2025.103553

Ping Fu , Shurui Zhang , Yujue Wang , Xiucheng Liu , Hexuan Li , Peng Li , Cunfu He

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引用次数: 0

Abstract

The magnetic Barkhausen noise (MBN) signal originates from the discontinuous motion of magnetic domains and domain walls. MBN is highly sensitive to microstructural characteristics in ferromagnetic materials and its time-frequency domain contains a wealth of information about material properties. However, there are few models that explore the time-frequency spectrum model of MBN. This study develops a time-frequency spectrum model of MBN grounded in its generation mechanism. By employing basis functions to characterize the jump characteristics of MBN, we construct a quantitative model utilizing the Pearson distribution function and bimodal Gaussian distribution function. Then, similarity index is used to evaluate the accuracy of the model. MBN signals from various ferromagnetic materials are collected and compared against the model's predictions. The results demonstrate that the similarity index between the model outcomes and experimental data exceed 85 %. This suggests that the proposed MBN time-frequency spectrum model is applicable to a range of ferromagnetic materials.

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磁巴克豪森噪声时频谱的理论模型

磁巴克豪森噪声（MBN）信号来源于磁畴和畴壁的不连续运动。MBN对铁磁材料的微结构特征非常敏感，它的时频域包含了丰富的材料性质信息。然而，探索MBN时频谱模型的模型很少。本研究建立了基于MBN产生机制的时频谱模型。通过基函数表征MBN的跳变特性，利用Pearson分布函数和双峰高斯分布函数构建了定量模型。然后，利用相似度指标评价模型的准确性。从各种铁磁材料中收集MBN信号，并与模型的预测进行比较。结果表明，模型计算结果与实验数据的相似度超过85%。这表明所提出的MBN时频谱模型适用于一系列铁磁材料。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Ndt & E International 工程技术-材料科学：表征与测试

CiteScore

7.20

自引率

9.50%

发文量

121

审稿时长

55 days

期刊介绍： NDT&E international publishes peer-reviewed results of original research and development in all categories of the fields of nondestructive testing and evaluation including ultrasonics, electromagnetics, radiography, optical and thermal methods. In addition to traditional NDE topics, the emerging technology area of inspection of civil structures and materials is also emphasized. The journal publishes original papers on research and development of new inspection techniques and methods, as well as on novel and innovative applications of established methods. Papers on NDE sensors and their applications both for inspection and process control, as well as papers describing novel NDE systems for structural health monitoring and their performance in industrial settings are also considered. Other regular features include international news, new equipment and a calendar of forthcoming worldwide meetings. This journal is listed in Current Contents.