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A match coefficient approach for damage imaging in structural components by ultrasonic synthetic aperture focus

机译:超声合成孔径聚焦在结构部件损伤成像中的匹配系数方法

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摘要

Ultrasonic Synthetic Aperture Focus (SAF) techniques are commonly used to image structural defects. In this paper, a variation of SAF based on ideas borrowed from Matched Field Processing (MFP) is evaluated to reduce artifacts and sidelobes of the resulting images. In particular, instead of considering the full RF ultrasonic waveforms for the SAF time backpropagation, only selected features from the waveforms are utilized to form a “data vector” and a “replica” (expected) vector of MFP. These vectors are adaptive for the pair of transmitter-receiver and the focus point. The image is created as a matched filter between these two vectors. Experimental results are shown for an isotropic and homogenous metallic plate with simulated defects, probed by six piezoelectric patches used as receivers or transmitters.
机译:超声合成孔径聚焦(SAF)技术通常用于成像结构缺陷。在本文中,基于从匹配场处理(MFP)借鉴的思想对SAF进行了评估,以减少生成图像的伪影和旁瓣。特别地,代替考虑用于SAF时间反向传播的完整RF超声波波形,仅利用从波形中选择的特征来形成MFP的“数据向量”和“副本”(预期)向量。这些向量适用于一对收发器和焦点。图像被创建为这两个向量之间的匹配过滤器。显示了具有模拟缺陷的各向同性均质金属板的实验结果,该板由六个用作接收器或发射器的压电片探测。

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