基于自适应反卷积的重叠超声无损检测回波识别

2007 14th International Conference on Mechatronics and Machine Vision in Practice Pub Date : 2007-12-01 DOI:10.1109/MMVIP.2007.4430713

Tong Feng, Xu Xiao-mei, S. Tso, B. Luk

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引用次数: 7

摘要

在超声无损检测应用中，较窄的超声换能器带宽会导致回波高度重叠，限制了检测的表征性能。最小均方(LMS)自适应算法以其高效、计算复杂度低、简单等优点在自适应滤波、控制和信号处理等领域得到了广泛的应用。本文的目的是研究基于LMS算法的自适应反卷积技术，以提高超声无损检测的时间分辨率。为该方法的实现提供了理论依据。物理超声无损检测数据的实验结果与所提方法的分辨率提高一致。

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Identification of overlapped ultrasonic NDE echoes with adaptive deconvolution

Ultrasonic nondestructive evaluation (NDE) application, narrow bandwidth of ultrasonic transducer will cause highly overlapped echoes, limiting the characterization performance of inspection. The least mean square (LMS) adaptive algorithm has gained wide applications in adaptive filtering, control and signal processing due to its effectiveness, low computational complexity and simplicity. The purpose of this paper is to investigate the LMS algorithm based adaptive deconvolution techniques in order to improving the time resolution of ultrasonic nondestructive detection. The theoretical basis as well as the implementation is provided. Experimental results on physical ultrasonic NDE data conforms the resolution improvement of proposed method.

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2007 14th International Conference on Mechatronics and Machine Vision in Practice

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