基于自适应滤波技术的激光-电磁超声检测噪声抑制方法

Investigation on the Method of Suppress Noise in the Laser-EMAT Testing Based on Adaptive Filter Technology

摘要: 介绍了一种基于LMS(Least mean square)算法的自适应滤波技术，该技术适用于激光-电磁超声检测(EMAT)过程中的噪声抑制。选择6016铝板表面裂纹的超声检测信号作为信号处理对象，采用Matlab设计的LMS自适应数字滤波器并对信号进行处理，结果表明该技术能够有效提高检测信号的可识别性，在激光-电磁超声工程应用领域中具有良好的应用前景。

Abstract: Introduces the adaptive filter technique based on the least mean square algorithm. The proposed method is applicable to the noise suppression during the detection process of the laser-EMAT technique. Experiments have been carried out on the 6016 aluminum plate, and the ultrasonic signal of surface defect has been processed by LMS adaptive digital filter designed by MATLAB. The results show that the technique can improve the identification ability of defect signal. The technique has good prospects in the engineering applications of laser-EMAT testing.