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Flaw Detection in Layered Media Based on Parametric Modeling of Overlapping Ultrasonic Echoes

机译:基于重叠超声回波参数建模的分层介质中的探伤检测

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In materials consisting of several thin layers, multiple reflections within the structure give rise to received ultrasonic signals composed of overlapping echoes. In this paper we present a parametric model that can be used to decompose such signals into the individual reflections. We derive a Maximum Likelihood Estimator for the model parameters, which are then used in a Generalized Likelihood Ratio Test (GLRT) to detect flaws in multi-layered structures. We show with simulations how the presence of a thin bonding layer in a three-layer structure can be detected. The probability of detection is shown to be approx= 96percent, for a signal-to-noise ratio (SNR) of 15 dB and a probability of false alarm of 5percent.
机译:在由几个薄层组成的材料中,结构内的多个反射产生了接收由重叠回波组成的超声波信号。在本文中,我们介绍了一种可以用于将这些信号分解为单个反射的参数模型。我们推导出模型参数的最大似然估计,然后在广义似然比测试(GLRT)中用于检测多层结构中的缺陷。我们展示了模拟如何检测三层结构中薄粘接层的存在。检测的概率显示为约= 96%,用于15dB的信噪比(SNR)和5平方的误报的概率。

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