An improved denoising method for ultrasonic echo of non-destructive evaluation

2016 10th IEEE International Conference on Anti-counterfeiting, Security, and Identification (ASID) Pub Date : 2016-09-01 DOI:10.1109/ICASID.2016.7873891

Fan Ping, Liu Xinbao

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Abstract

As a widely used non-destructive evaluation (NDE), ultrasonic testing utilizes the echo wave to evaluate the material damage and degradation. However, there exists a lot of unwanted noise, which makes the detection of small faults difficult. In order to achieve the good detection performance of non-destructive evaluation, an improved denoising method of ultrasonic echo was proposed in present study. Firstly, the echo wave of ultrasonic testing is decomposed with the wavelet packet transform (WPT). Subsequently, the energy and entropy parameters of wavelet packets are calculated, respectively. Based on the analysis of their statistical properties, the threshold for the signal reconstruction packets is determined. Besides, by the simulation experiments on two cracks at different locations in a metal plate, the denoising performance of the present method using two popular wavelet functions of sym4 and db4 are investigated and compared with other conventional methods. All these experiment results show that the better denoise performance can be achieved with this proposed method especially when the signal noise ratio (SNR) is smaller than 10dB.

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一种改进的无损评价超声回波去噪方法

超声检测是一种广泛应用的无损检测技术，它利用回波来评估材料的损伤和降解。然而，由于存在大量无用的噪声，使得小故障的检测变得困难。为了获得良好的无损检测性能，本文提出了一种改进的超声回波去噪方法。首先，利用小波包变换(WPT)对超声波检测回波进行分解。然后，分别计算小波包的能量和熵参数。在分析其统计特性的基础上，确定了信号重构包的阈值。此外，通过对金属板上不同位置的两条裂纹进行仿真实验，研究了该方法采用常用的两种小波函数sym4和db4对裂纹进行去噪的效果，并与其他常规方法进行了比较。实验结果表明，在信噪比小于10dB的情况下，该方法具有较好的去噪性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2016 10th IEEE International Conference on Anti-counterfeiting, Security, and Identification (ASID)

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