| 基于FastICA的超声A波信号降噪研究 |
| |
| 引用本文： | 郑慧峰,吕江明,张斌,杨辰龙. 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 |
| |
| 作者姓名： | 郑慧峰 吕江明 张斌 杨辰龙 |
| |
| 作者单位： | 1. 中国计量学院,杭州,310018
2. 浙江大学,杭州,310027 |
| |
| 基金项目： | 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。
|
| 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 |
Research on Noise Reduction for A-Wave Ultrasonic Signals Based on FastICA |
| |
| Zheng Huifeng,Lü Jiangming,Zhang Bin,Yang Chenlong. Research on Noise Reduction for A-Wave Ultrasonic Signals Based on FastICA[J]. China Mechanical Engineering, 2012, 23(10): 1135-1139 |
| |
| Authors: | Zheng Huifeng Lü Jiangming Zhang Bin Yang Chenlong |
| |
| Affiliation: | 1.China Jiliang University,Hangzhou,310018 2.Zhejiang University,Hangzhou,310027 |
| |
| 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. |
| |
| Keywords: | reconstructed phase space(RPS) independent component analysis(ICA) Hurst index ultrasonic non-destructive test(NDT) |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
