西安科技大学学报2012，Vol.32Issue(3)：394-397,402,5.
一种基于ICA的机械缺陷超声信号提取方法
A method of mechanical defect ultrasonic signal extraction based on ICA
摘要
Abstract
A method based on Independent Component Analysis to de-noise the ultrasonic signals is presented to overcome the disadvantage of ultrasonic testing signals that they are always strongly affected by the background noises. Firstly, the observed signals are decomposed of several independent components by JADE, then, set the noise component to be zero according to Hurst exponent. Finally, the de-noised signals are figured out using the decompose matrix. The study on ihe flaw ultrasonic signals de-noising of the simulation and experiment shows that the de-noising method based on ICA can get higher signal to noise ratio compared with wavelet de-noising method. And ICA is beneficial to de-noise processing and extraction of characteristic signals for strong background noise.关键词
独立分量分析/超声信号/缺陷提取Key words
independent component analysis/ ultrasonic signal/ flaw extraction分类
信息技术与安全科学引用本文复制引用
齐爱玲,白焕莉,马宏伟,张小艳..一种基于ICA的机械缺陷超声信号提取方法[J].西安科技大学学报,2012,32(3):394-397,402,5.基金项目
国家自然科学基金资助项目(51074121) （51074121）
陕西省教育厅科学研究计划(2010JK659) （2010JK659）
