提升小波在漏磁信号处理中的应用

Applications of Lifting Wavelet in MFL Signal Processing

为了解决在漏磁信号中的噪声抑制问题,在讨论了第二代小波变换基本原理及其特点的基础上,提出了应用第二代小波的算法对采集的漏磁信号进行消噪处理,并在阈值处理过程中引入了软硬阈值折衷法。仿真结果表明,与传统小波变换的去噪效果相比较,该降噪处理方法,不仅较好地剔除信号中的噪声,而且保留了原始信号中的有效成分,是一种可行的方法。

Based on the theory and characteristics of the second generation wavelet transform,the lifting wavelet transform is employed to construct wavelet to solve the problem of noise reduction in the magnetic flux leakage（MFL） inspecting signals,and compromise between soft threshold and hard threshold is adopted in the processing of threshold value.The simulated results show that improved lifting scheme has achieved the noise reduction better than that traditional wavelet transform,which is not only de-noising,but also and retained effective composition in the original signal.It is a feasible way to process MFL inspecting signals.