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Application of signal processing techniques to ultrasonic testing of plates by S_0 Lamb wave mode

机译：信号处理技术在S_0兰姆波模式超声检测中的应用

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In recent years, much attention has been paid to the use of Lamb waves for structural health monitoring. This choice is prompted by the high speed of Lamb wave inspection, although their dispersive nature can complicate the interpretation of results, especially when dealing with closely-spaced reflectors. In this paper, the objective is to improve the time resolution and signal-to-noise ratio of signals obtained from inspection of plates by the S_o Lamb mode. The signal processing scheme used is based on deconvolution of the measured signal by Wiener filtering, followed by autoregressive spectral extrapolation. The deconvolution technique is applied to signals obtained from finite element models and also to experimentally measured signals; both sets of data are based on plates with various types of notch discontinuities. Using this technique, the separation distance between adjacent notches was estimated with high accuracy in both simulated and experimental ultrasonic signals.
机译：近年来，人们非常重视使用羔羊波进行结构健康监测。尽管Lamb波检测的分散性会使结果的解释变得复杂，尤其是在处理间距很近的反射器时，但由于Lamb波检测的高速化，促使了这一选择。在本文中，目的是提高通过S_o Lamb模式检查板而获得的信号的时间分辨率和信噪比。所使用的信号处理方案基于通过维纳滤波对测量信号进行反卷积，然后进行自回归频谱外推。反卷积技术适用于从有限元模型获得的信号，也适用于实验测量的信号。两组数据均基于具有各种类型的缺口不连续性的板。使用这种技术，可以在模拟和实验超声信号中高精度地估计相邻凹口之间的间隔距离。

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