Multi-Helical Path Exploitation in Sparsity-Based Guided-Wave Imaging of Defects in Pipes
Multi-Helical Path Exploitation in Sparsity-Based Guided-Wave Imaging of Defects in Pipes
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DOI：
10.1007/s10921-018-0481-5
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发表时间：
2018-03
影响因子：
2.8
通讯作者：
A. Golato;F. Ahmad;S. Santhanam;M. Amin
中科院分区：
文献类型：
--
作者：
A. Golato;F. Ahmad;S. Santhanam;M. Amin
本文提出了一种基于缺陷对导波散射的圆柱形管道缺陷定位方法。所提出的方案是基于使用稀疏阵列的超声波换能器和管道表面上的缺陷的稀疏性。传感器的两个圆环用作发射器和接收器，用于包围待检测区域。在被缺陷散射之后，存在多个螺旋路径用于波从发射器行进到接收器。为每条路径构建基于模型的字典矩阵，将到达接收器的信号与潜在缺陷的位置相关联。所得到的线性信号模型通过组稀疏重建来反转，以定位管道中存在的缺陷。实验验证所提出的多螺旋路径开发方法提供了缺陷的铝管。
In this paper, a defect localization scheme for cylindrical pipes is presented which relies on guided-wave scattering by defects. The proposed scheme is predicated on the use of a sparse array of ultrasonic transducers and the sparse nature of defects on the pipe surface. Two circular rings of transducers, functioning as transmitters and receivers, are used to encompass the region to be inspected. Multiple helical paths exist for waves to travel from the transmitters to the receivers, after being scattered by the defects. Model based dictionary matrices are constructed for each path, relating the signals arriving at the receivers to the locations of potential defects. The resulting linear signal model is inverted by group sparse reconstruction to localize defects present in the pipe. Experimental validations of the proposed multi-helical path exploitation approach are provided for defects on an aluminum pipe.