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A Generalized Time-Reversal-Based Imaging for Ultrasonic Nondestructive Evaluation

机译:基于时间逆向的超声无损评估成像

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In this paper, a generalized time-reversal-based imaging algorithm is presented and introduced into the area of ultrasonic Nondestructive evaluation (NDE) for imaging defect in solids. It can be expressed in different forms, including central frequency time-reversal with multiple signal classification (CF-TR-MUSIC), as well as its multi-frequency forms over a given frequency bandwidth, namely multi-frequency TR-MUSIC (MF-TR-MUSIC) and a related phase-coherent form (PC-MUSIC). These imaging algorithms are tested with experimental ultrasonic array data, and their performance is evaluated in terms of lateral resolution and sensitive to noise, two particularly important indicators for industrial NDE. It is shown that all three methods are capable of resolving lateral targets spaced closer than the Rayleigh limit, achieving super-resolution imaging. Both CF-TR-MUSIC and MF-TR-MUSIC can locate the positions of targets correctly, whereas the results from PC-MUSIC are less clear because of the presence of multiple peaks in the vicinity of target. However, an advantage of PC-MUSIC is that it can overcome the elongated point spread function that appears in TR-MUSIC images, and hence provide enhanced axial resolution. For high noise levels, MF-TR-MUSIC and PC-MUSIC are shown to provide stable image and suppress the presence of artifacts seen in the CF-TR-MUSIC image.
机译:本文提出了一种基于时间逆转的广义成像算法,并将其引入了对固体缺陷成像的超声无损评价领域。它可以以不同的形式表示,包括具有多个信号分类的中心频率时间反转(CF-TR-MUSIC),以及在给定频率带宽上的多频形式,即多频TR-MUSIC(MF- TR-MUSIC)和相关的相干形式(PC-MUSIC)。这些成像算法已通过实验性超声阵列数据进行了测试,并根据横向分辨率和对噪声的敏感度对它们的性能进行了评估,这是工业NDE的两个特别重要的指标。结果表明,这三种方法都能够解析比瑞利极限更近的横向目标,从而实现超分辨率成像。 CF-TR-MUSIC和MF-TR-MUSIC都可以正确定位目标位置,而PC-MUSIC的结果由于目标附近存在多个峰而不清楚。但是,PC-MUSIC的一个优点是它可以克服TR-MUSIC图像中出现的拉长点扩散功能,从而提供增强的轴向分辨率。对于高噪声水平,显示MF-TR-MUSIC和PC-MUSIC可提供稳定的图像并抑制CF-TR-MUSIC图像中出现的伪影。

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