Application of wavelet transformation in eddy current testing of steam generator tubes

J. Grman, R. Ravas, Ĺ. Syrová
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引用次数: 10

Abstract

Fast localization of indications of defects and structure elements in the defectoscopy of steam generator tubes is the field where the application of the wavelet transformation has great prospects. Our primary task is to find positions of potential indications within signals and the secondary task is to calculate optimal boundaries of indications with respect to their future use in the process of classification. The contribution concentrates on the choice of suitable wavelet function and parameters of localization algorithm. The basic result of this algorithm is a vector of positions of indications within the signal. Use of multiresolution wavelet analysis implies a possibility to calculate optimal boundaries of found indications. The selected algorithm and its parameters were compared using real records of steam generator tubes and artificial defects and imitations of construction elements as well.
小波变换在蒸汽发生器管涡流检测中的应用
小波变换在蒸汽发生器管件缺陷检测中快速定位缺陷标志和结构要素是小波变换应用前景广阔的领域。我们的主要任务是在信号中找到潜在适应症的位置,次要任务是在分类过程中计算其未来使用的适应症的最佳边界。重点研究了合适的小波函数和定位算法参数的选择。该算法的基本结果是信号内指示位置的矢量。使用多分辨率小波分析意味着有可能计算发现的指示的最佳边界。并将所选算法及其参数与蒸汽发生器管的实际记录和结构构件的人为缺陷和缺陷进行了比较。
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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