| 基于独立分量分析的缺陷信号串扰消除 |
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| 引用本文： | 查君君,何辅云.基于独立分量分析的缺陷信号串扰消除[J].无损检测,2010(5):328-331. |
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| 作者姓名： | 查君君 何辅云 |
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| 作者单位： | [1]安徽工程科技学院电气工程系,芜湖241000 [2]合肥工业大学计算机与信息学院,合肥230009 |
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| 基金项目： | 安徽工程科技学院青年基金（自然科学）立项项目资助（2007YQ034）; 安徽省年度科研计划项目资助（08020203022） |
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| 摘 要： | 漏磁检测设备中纵向传感器阵列特殊的物理结构,使得采集的缺陷信号之间不可避免地产生串扰,因而降低了检测设备的可靠性。结合采集信号的阵列特性,通过使用基于独立分量分析(ICA)的阵列信号处理方法,分离出各路消除串扰的源信号。仿真试验结果表明,ICA的定点算法可以消除信号之间的串扰,满足检测设备要求,具有较大的应用潜能。
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| 关 键 词： | 独立分量分析 定点算法 漏磁检测 缺陷信号 串扰消除 |
Reduction of Disturbance Between Flaw Signals Based on Independent Component Analysis |
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| ZHA Jun-Jun,HE Fu-Yun.Reduction of Disturbance Between Flaw Signals Based on Independent Component Analysis[J].Nondestructive Testing,2010(5):328-331. |
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| Authors: | ZHA Jun-Jun HE Fu-Yun |
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| Affiliation: | 1.Department of Electric Engineering,Anhui University of Technology and Science,Wuhu 241000,China; 2.School of Computer and Information,Hefei University of Technology,Hefei 230009,China) |
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| Abstract: | The special structure of longitudinal sensor array in magnetic leakage detecting equipment leads to the inevitable disturbance between flaw signals and the low performance of equipment.Considering the characteristic of array in detecting signals,the array signal process method based on the independent component analysis（ICA） was used to separate the non-disturbance source signals.Simulation experiment was carried out,and the result showed that this method could reduce the disturbance between flaw signals and met the detected equipment requirements. Thus the fixed point algorithm for ICA has large potential in flaw signals process. |
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| Keywords: | Independent component analysis Fixed point algorithm Magnetic leakage testing Flaw signal Disturbance reduced |
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