摘要
本文研究小波变换方法在粗晶材料超声缺陷信号增强中的应用.为克服粗品材料(奥氏体钢)超声检测时晶粒噪声的影响,在分析晶粒噪声和缺陷信号频谱分布的基础上,提出了一种基于小波变换模极大值的算法来提高信噪比.利用此算法进行实际超声信号分析效果良好.
The application of wavelet transform to ultrasonic inspection of coarse-grained materials is discussed. To restrain the adverse effect of the scattering from coarse-grain, an algorithm is provided based on the discussion of the frequency spectrum distribution of the defect signals and grained noise. Experimental results show that SNR can be improved by the method.
出处
《无损检测》
1997年第2期32-34,共3页
Nondestructive Testing
基金
国家教委博士点基金
北京市自然科学基金资助项目
