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首页> 外文会议>17th world conference on nondestructive testing (17th WCNDT) >Ultrasonic Signal De-noising Using Dual Filtering Algorithm
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Ultrasonic Signal De-noising Using Dual Filtering Algorithm

机译：使用双重滤波算法的超声信号降噪

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摘要

This paper describes the proposal of dual filtering algorithm used for ultrasonic A-scan signal de-noising. In ultrasonic non-destructive testing the signals characterizing the material structure are evaluated. The sensitivity and resolution of typical ultrasonic systems is commonly limited by backscattering and electronic noise level commonly contained in acquired ultrasonic signals. In ultrasonic non-destructive testing area it is really difficult to detect flaw in materials with coarse-grain structure. In this paper, the main goal was to efficiently suppress the undesirable noise level and successfully detect the fault echo that is hidden under the noise level. The dual filtering algorithm, presented in this paper, is based on application of efficient de-noising algorithms as Wiener filter and discrete wavelet transform. The Wiener filter based group delay statistics is presented and the best parameters are searched. The discrete wavelet transform algorithm with different mother wavelets, threshold levels and threshold rules is also presented. Both algorithms are evaluated using two parameters, signal-to-noise ratio and fault echo corruption. The proposed dual filtering algorithm is performed on both simulated and real ultrasonic signals acquired on grainy material used for constructing airplane engines.
机译：本文介绍了用于超声A扫描信号降噪的双重滤波算法的建议。在超声无损检测中，评估表征材料结构的信号。典型的超声系统的灵敏度和分辨率通常受到反向散射和采集到的超声信号中通常包含的电子噪声水平的限制。在超声波无损检测领域，要检测具有粗晶粒结构的材料中的缺陷确实非常困难。本文的主要目标是有效地抑制不良噪声水平并成功检测出隐藏在噪声水平之下的故障回波。本文提出的双重滤波算法是基于有效的降噪算法（如维纳滤波器和离散小波变换）的应用。提出了基于维纳滤波器的群时延统计信息，并搜索了最佳参数。提出了具有不同母小波，阈值水平和阈值规则的离散小波变换算法。两种算法都使用两个参数进行评估，即信噪比和故障回波破坏。所提出的双重滤波算法是在用于构造飞机发动机的粒状材料上获取的模拟和实际超声信号上执行的。

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