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

机译:一种改进的无损超声回波去噪方法

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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.
机译:作为一种广泛使用的非破坏性评估(NDE),超声测试利用回波来评估材料的损坏和退化。但是,存在很多不想要的噪声,这使得检测小故障变得困难。为了实现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)分解超声测试的回波。随后,分别计算小波包的能量和熵参数。基于对它们的统计特性的分析,确定信号重建包的阈值。此外,通过在金属板上不同位置的两个裂纹的模拟实验,研究了使用两个流行的sym4和db4小波函数的本方法的去噪性能,并将其与其他常规方法进行了比较。所有这些实验结果表明,该方法可以实现更好的降噪性能,尤其是当信号噪声比(SNR)小于10dB时。

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