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Instantaneous Phase Coherence Imaging for Near-Field Defects by Ultrasonic Phased Array Inspection

机译：超声相控阵检查用于近场缺陷的瞬时相干成像

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摘要

This paper describes an imaging method for near-field defect detection in aluminum plates based on Green’s function recovery and application of instantaneous phase coherence weighting factors. The directly acquired acoustic information of near-field defects is usually obscured by the nonlinear effects due to the physical limitation of the acquisition system. Using the diffuse field to recover the Green’s function can effectively retrieve the early time information. However, averaging operations of finite number in this process produces an imperfect imaging result. In order to improve the image quality, two kinds of instantaneous phased coherence weighting factors are used to weight the Green’s function to reduce the background noise and improve the signal-to-noise ratio: the instantaneous phase coherence factor (IPCF), and the instantaneous phase weighting factor (IPWF). Experiments are conducted on two aluminum plates with two and four near-field defects, respectively. As a result, the background noise of amplitude images weighted by IPCF and IPWF is less than that of the conventional total focusing method (TFM). In addition, the IPCF image achieves a better signal-to-noise ratio (SNR) than that of IPWF, and the phase discontinuity in an IPWF image is suppressed through the IPCF.
机译：本文介绍了一种基于格林函数恢复和瞬时相干加权因子应用的铝板近场缺陷检测成像方法。由于采集系统的物理局限性，非线性效应通常会掩盖直接获取的近场缺陷的声学信息。使用扩散场恢复格林的功能可以有效地检索早期信息。但是，此过程中有限数量的平均运算会产生不完美的成像结果。为了提高图像质量，使用两种瞬时相干相干加权因子对格林函数进行加权，以减少背景噪声并提高信噪比：瞬时相干因子（IPCF）和瞬时相干相干因子（IPCF）。相位加权因子（IPWF）。在分别具有两个和四个近场缺陷的两个铝板上进行了实验。结果，由IPCF和IPWF加权的幅度图像的背景噪声小于常规的总聚焦方法（TFM）。另外，与IPWF相比，IPCF图像具有更好的信噪比（SNR），并且通过IPCF可以抑制IPWF图像中的相位不连续性。

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