基于独立分量分析的缺陷信号串扰消除

Reduction of Disturbance Between Flaw Signals Based on Independent Component Analysis

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。

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.