基于自适应滤波技术的激光-电磁超声检测噪声抑制方法

基金项目:

国际科技合作基金资助项目(2010DFR50240)

山东省优秀中青年科学家科研奖励基金资助项目(BS 2011ZZ016)

山东省科学院青年基金资助项目(2012-02)

详细信息

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。
- 激光超声 /
- 电磁超声 /
- 无损检测 /
- 自适应滤波 /
- 最小均方算法
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.
- Laser ultrasonic /
- EMAT /
- Nondestructive testing /
- Adaptive filter /
- Least mean square

[1]	MIRKO S, VALENTINA C, SIVIA C, et al. Pre-processing of data coming from a laser-EMAT system for non-destructive testing of steel slabs［J］.ISA Transactions,2012,51(1):181-188.
[2]	赵扬，刘伟，郭锐，等.激光－电磁超声技术的检测原理与应用［J］.无损检测，2012,34(3):59-63.
[3]	林善明，孙海华，金纪东，等.模糊自适应滤波器在电磁超声检测中的研究［J］.计算机工程与设计，2011,32(3):1123-1129.
[4]	戴立新，彭建平，杨凯，等.电磁超声系统强噪声干扰抑制算法研究［J］.铁道学报，2011,33(3):35-39.
[5]	刘镇清，项延训.自适应滤波在超声无损检测中的应用［J］.无损检测，2001,23(9):398-410.
[6]	周忠辉，王永纲，黄大骏.LMS 自适应滤波数字峰值估计方法研究［J］.核电子学与探测技术，2010,30(3):349-353.