基于小波包－Haar小波变换的漏磁检测信号降噪数据压缩方法

摘要

漏磁检测是对输油管道、油罐等设备缺陷进行无损检测的一种重要方法，但在检测过程中产生的信号数据量庞大，同时会产生多种干扰噪声，出现信号失真、漂移和信号被湮没等问题，对信号进行降噪滤波是缺陷漏磁检测的关键环节。探讨了信号降噪压缩方法，研究了基于小波包－Haar小波算法的漏磁检测信号降噪压缩算法，通过该算法，在对信号数据进行降噪压缩处理同时，保留了高频部分信号特征，从而在降噪后数据解压缩过程中避免了信号失真畸变的现象。%For pipelines , tanks and other equipment defects , magnetic flux leakage inspection is an important non-destructive tes-ting method, but the huge amount of signal data will be generated in the testing process , and it will produce a variety of interference and noise, occurring problems such as signal distortion , drift, and annihilation etc.Signal noise reduction filter is key for magnetic flux leakage defect detection .The signal noise reduction compression method was explored .The compressed MFL signal denoising wavelet packet-Haar wavelet algorithm was studied .By this algorithm , signal data were compressed to reduce noise while the high frequency signal characteristics were retained , resulting in avoiding the phenomenon of signal distortion aberration in data decompressing process .