Research on Ultrasonic Lamb Wave defect signal recognition method based on VMD

Chen-chen Zhang, Song Li, W. Xia, Zhongji Guo, Kuan Xiang
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Abstract

In order to extract the defect from ultrasonic lamb wave signal accurately, the method based on variational mode decomposition (VMD) is proposed. The effect of decomposition produces different results due to the change of the decomposition layer - K. If the value of K is too large or too small, the intrinsic mode function (IMF) cannot be completely separated, resulting in mode aliasing phenomenon. The false components produced in the decomposition process will cause the summation of energy of the decomposed components to be larger than the original signal. In order to address this problem, the relationship between the mean of instantaneous frequency and the K value is used to determine the specific decomposition layer number of the VMD. The mutual information value of each IMF component and the original signal is calculated, and the IMF whose mutual information is lower than the threshold value will be eliminated to remove the false component. This method can decompose the fault signal well in the practical non-destructive testing and provide reference for the application of VMD in the faulted diagnosis of non-destructive testing.
基于VMD的超声Lamb波缺陷信号识别方法研究
为了准确提取超声lamb波信号中的缺陷,提出了基于变分模态分解(VMD)的缺陷提取方法。分解的效果由于分解层K的变化而产生不同的结果。如果K的值过大或过小,则不能完全分离本征模态函数(IMF),导致模态混叠现象。分解过程中产生的假分量会导致分解分量的能量之和大于原始信号。为了解决这一问题,利用瞬时频率均值与K值的关系来确定VMD的具体分解层数。计算各IMF分量与原始信号的互信息值,剔除互信息低于阈值的IMF,去除假分量。该方法在实际无损检测中能够很好地分解故障信号,为VMD在无损检测故障诊断中的应用提供参考。
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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