粗晶材料超声检测缺陷信号增强的小波分析法

ENHANCEMENT OF ULTRASONIC DEFECT SIGNALS OF COARSE GRAINED MATERIALS USING WAVELET ANALYSIS METHOD

在超声无损检测中，粗晶材料（奥氏体钢）的晶粒噪声往往使材料的缺陷信号变得难以识别。在分析晶粒噪声和缺陷信号频谱分布的基础上，利用小波分析法消除晶粒噪声以实现有效识别缺陷的目标。利用此方法进行实际粗晶材料超声信号分析。

It was difficult to identify the ultrasonic defect signals of coarse grained materials, so a wavelet analysis method was applied to reduce the grained noise based on the discussion of the frequency spectrum distribution of the defect signals and grained noise. The experimental results show that the SNR can be improved highly by this method.