小波变换用于输油管道漏磁检测信号处理

Wavelet Transformation Applied to MFL Signal Processing of Oil Pipeline

管道腐蚀是目前输油管道运营中的重要难题。漏磁检测是无损检测中的一种重要方式,采用漏磁法对输油管道进行无损检测时,采集的漏磁信号具有数据量大和附带有大量噪声的特性。采用小波变换中的Mallat算法可以有效地对漏磁信号进行处理,使信号便于储存和分析。

Pipeline corrosion is an important problem in pipeline transportation. Magnetic flux leakage（MFL） method is a main method of nondestructive inspection of ferromagnetic pipelines The inspection signals derived from MFL method contain often a great deal of noise. Based on the Mallat algorithm of wavelet transformation, the MFL signal can be processed efficiently in order to be analyzed and stored.