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Calculation of Magnetic Hysteresis Minor Loop and New Features Extraction based on Magnetic Barkhausen Noise

机译:基于磁性Barkhausen噪声的磁滞微量环路和新特征提取的计算

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Magnetic Barkhausen Noise (MBN) is an effective non-destructive testing approach for ferromagnetic material residual stress measurement and evaluation. However, the common MBN signal features such as the time to peak value and frequency spectrum are not accurate enough for stress evaluation due to the randomness of MBN signal. This paper proposed a new method to calculate a curve which looks like magnetic hysteresis loop (B-H curve) based on the line integral from envelope curve of MBN signal. And some new features are extracted from the above integrated B-H curve. These new signal features show a good linear relationship with applied stress. By comparing these new features with previous common features, we find that the envelope area and center height difference of new features can effectively reduce the adverse impact on stress evaluation due to the randomness of MBN signal.
机译:磁性巴卡森噪声(MBN)是一种有效的无损检测方法,用于铁磁性物质残留应力测量和评价。然而,由于MBN信号的随机性,诸如峰值值和频谱的时间诸如峰值值和频谱的时间不足以足够准确。本文提出了一种基于MBN信号的包络曲线的线积分的曲线计算曲线的新方法,该曲线看起来像磁滞回路(B-H曲线)。从上述集成的B-H曲线中提取一些新功能。这些新的信号特征显示出与应用应力的良好线性关系。通过将这些新功能与以前的共同特征进行比较,我们发现新特征的信封区域和中心高度差异可以有效地降低由于MBN信号的随机性导致的对应力评估的不利影响。

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