基于FastICA的超声A波信号降噪研究  

Research on Noise Reduction for A-Wave Ultrasonic Signals Based on FastICA

作　　者：郑慧峰[1] 吕江明[1] 张斌[1] 杨辰龙[2] 

机构地区：[1]中国计量学院,杭州310018 [2]浙江大学,杭州310027

出　　处：《中国机械工程》2012年第10期1135-1139,共5页China Mechanical Engineering

基　　金：国家自然科学基金资助项目(51075358);浙江省自然科学基金资助项目(Y1090189;Q12E050085);高等学校博士学科点专项科研基金资助项目(201001011200155)

摘　　要：为便于缺陷可视化和提高缺陷定量分析精度,必须降低超声检测过程中多种未知噪声源对超声A波信号的干扰。首先将超声A波信号进行相空间重构,得到一个相空间重构矩阵;然后进行基于FastICA算法的独立分量分析;最后从独立分量中提取出所需的超声信号。为了验证降噪效果,将该降噪方法与小波去噪方法进行对比。实验结果表明:该方法与小波去噪方法效果接近,极大地提高了超声信号的信噪比。同时,该方法与小波去噪方法相比具有自适应能力强、简单且易于实现等优点。In order to facilitate the flaw visualization and improve the flaw quantitative analysis precision, kinds of unknown noises should be eliminated to prevent interfering the ultrasonic A--wave during ultrasonic testing. Firstly,this method which obtained a RPS matrix used reconstrueted phase space to signals of A--wave ultrasonic. Secondly,ICA was applied to the RSP matrix based on FastI- CA algorithm. Finally, the available ultrasonic signals were obtained. To confirm the proposed method it was applied to de--noising ultrasonic signals of the test sample and was compared with the wavelet de--noising method. The experimental results show that the proposed method which enhances the signal- to--noise ratio enormously is very near to the wavelet de--noising method. The proposed method is easier to use and possesses a good adaptability.

关 键 词：相空间重构 独立分量分析 赫斯特指数 超声无损检测 

分 类 号：TP274.53[自动化与计算机技术—检测技术与自动化装置]