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

China Mechanical Engineering ›› 2012, Vol. 23 ›› Issue (10): 1135-1139.

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

Zheng Huifeng1;Lü Jiangming1;Zhang Bin1;Yang Chenlong2

1.China Jiliang University,Hangzhou,310018
2.Zhejiang University,Hangzhou,310027

Online:2012-05-25 Published:2012-05-30
Supported by:

National Natural Science Foundation of China（No. 51075358）;

Zhejiang Provincial Natural Science Foundation of China（No. Y1090189,

Q12E050085）;
Research Fund for the Doctoral Program of Higher Education of China（No. 201001011200155）

基于FastICA的超声A波信号降噪研究

郑慧峰1;吕江明1;张斌1;杨辰龙2

1.中国计量学院,杭州,310018
2.浙江大学,杭州,310027

基金资助:
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）
National Natural Science Foundation of China（No. 51075358）;

Zhejiang Provincial Natural Science Foundation of China（No. Y1090189,Q12E050085）;
Research Fund for the Doctoral Program of Higher Education of China（No. 201001011200155）

Abstract

Abstract:

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 reconstructed phase space to signals of A-wave ultrasonic.Secondly,ICA was applied to the RSP matrix based on FastICA 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.

Key words: reconstructed phase space(RPS), independent component analysis(ICA), Hurst index, ultrasonic non-destructive test(NDT)

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。


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

CLC Number:

TP274.53

ZHENG Hui-Feng-1, LV Jiang-Meng-1, ZHANG Bin-1, YANG Chen-Long-2. Research on Noise Reduction for A-Wave Ultrasonic Signals Based on FastICA[J]. China Mechanical Engineering, 2012, 23(10): 1135-1139.

郑慧峰1, 吕江明1, 张斌1, 杨辰龙2. 基于FastICA的超声A波信号降噪研究[J]. 中国机械工程, 2012, 23(10): 1135-1139.

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

基于FastICA的超声A波信号降噪研究

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