中文摘要：

在对军用装备进行漏磁无损检测时，漏磁信号中含有大量噪声，针对这种情况，介绍了小波变换消噪理论。在数字化实现中，离散小波变换是利用Matlat分解与重构算法来完成。仿真试验中，选取二阶样条小波为小波函数，对从漏磁检测装置中采集到的漏磁信号进行消噪，结果表明将小波变换应用于炮管漏磁检测中，能提高检测信号的信噪比和抗干扰能力。为漏磁信号分析、特征提取和缺陷漏磁反演打下了基础。

英文摘要：

When magnetic flux leakage （MFL） testing means is employed in nondestructive evaluation of military equipments. MFI. signal contains a lot of noises, considering the circumstances, this paper introduces wavelet transform de nosing theory. In numeralization realization, disperse wavelet transform is performed by Mallat＇s decomposition and reconstruction algorithm. In simulation experiment, a secondorder spline wavelet is ehosen as wavelet function, and the noises of MFL signal from MFL detecting device are reduced. The result indicates that the noise is effectively reduced by wavelet transform theory, and it was raised that the ability of the Signal-to Noise Ratio （SNR）, anti-jamming and signal identification. It is the basis for the MFL signal analysis and feature extraction and defect inversion.