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Frequency Domain Method for Resolution of Two Overlapping Ultrasonic Echoes

机译:分辨两个重叠超声回波的频域方法

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摘要

The ability to identify and resolve overlapping echoes is crucial to the enhancement of axial scan resolution in ultrasonic testing. Overlapping echoes are frequently encountered in the inspection of shallow and/or short cracks in Time-of-Flight Diffraction and normal incidence reflection inspection of near surface flaws. Dictionary-based parametric representation (DBPR) has been proposed as a powerful framework to separate overlapping echoes of different shapes. However, the large solution space in DBPR renders the optimization process difficult. We propose a new echo separation method named Trigonometric Echo Identification (TEI) that exploits the consistent frequency domain amplitude and phase relationships of two overlapping ultrasonic echoes to reduce the number of optimization parameters.;In TEI, frequency amplitude profiles are entered as inputs and the corresponding set of frequency phase profiles are reconstructed as outputs. The optimality of the output phase profiles is then used as a metric to determine the accuracy of the trial amplitude inputs. By reconstructing the phase information instead of explicitly specifying the phase profiles, we can reduce the number of unknowns in the problem of identifying two overlapping ultrasonic echoes. Compared to DBPR, TEI can describe more complex ultrasonic echoes using the same number of optimization parameters. In addition, since the phase profiles are reconstructed using the acquired data, TEI would perform more reliably in the presence of noise.;Simulation tests were conducted to assess the relative performance of TEI and DBPR. Echo parameters including center frequency, phase shift and relative amplitudes were systematically varied to yield different test configurations. The standard deviation of timing errors obtained from TEI were 50% lower compared to DBPR. The difference in algorithm performance is especially evident in low SNR signals and signals containing echoes of complex shapes. The TEI algorithm was also verified on experimental ultrasound testing data containing overlapping echoes. The echo arrival times extracted using TEI agree with the values obtained using geometric calculations.
机译:识别和解决重叠回波的能力对于提高超声测试中的轴向扫描分辨率至关重要。在飞行时间衍射的浅裂纹和/或短裂纹的检查以及近表面缺陷的法向入射反射的检查中,经常会遇到重叠的回波。基于字典的参数表示(DBPR)已被提出作为分离不同形状的重叠回声的强大框架。但是,DBPR中较大的解决方案空间使优化过程变得困难。我们提出了一种新的回波分离方法,称为三角回波识别(TEI),该方法利用两个重叠的超声回波的一致频域幅度和相位关系来减少优化参数的数量。相应的一组频率相位曲线被重建为输出。然后,将输出相位曲线的最优性用作度量来确定试验幅度输入的精度。通过重建相位信息而不是明确指定相位配置文件,我们可以减少识别两个重叠超声回波的问题中的未知数。与DBPR相比,TEI可以使用相同数量的优化参数来描述更复杂的超声回波。另外,由于使用所获取的数据重构了相位分布,因此在有噪声的情况下,TEI的性能将更加可靠。;进行了仿真测试,以评估TEI和DBPR的相对性能。系统地改变了包括中心频率,相移和相对幅度在内的回波参数,以产生不同的测试配置。与DBPR相比,从TEI获得的定时误差的标准偏差要低50%。在低SNR信号和包含复杂形状回波的信号中,算法性能的差异尤为明显。还对包含重叠回波的实验超声测试数据进行了TEI算法验证。使用TEI提取的回波到达时间与使用几何计算获得的值一致。

著录项

  • 作者

    Kwan, Chi-Hang.;

  • 作者单位

    University of Toronto (Canada).;

  • 授予单位 University of Toronto (Canada).;
  • 学科 Mechanical engineering.;Electrical engineering.;Acoustics.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 126 p.
  • 总页数 126
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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