基于小波分析的海底石油管道缺陷超声检测信号去噪处理  

Noise Cancellation of Flaw Signal for Seabed Oil Pipeline Ultrasonic Testing Based on Wavelet Analysis

作　　者：刘清坤[1] 阙沛文[1] 宋寿鹏[1] 

机构地区：[1]上海交通大学自动检测研究所,上海200030

出　　处：《传感技术学报》2004年第4期580-582,599,共4页Chinese Journal of Sensors and Actuators

基　　金：国家 86 3计划项目 (2 0 0 1AA6 0 2 0 2 1)资助 .

摘　　要：针对海底石油管道超声检测信号的噪声消除问题 ,本文研究了基于小波分析的噪声消除方法。文中首先介绍了基于小波分析的噪声消除方法的基本原理 ,然后运用小波方法对实测超声信号进行了具体的处理。在信号处理中考虑了小波基以及小波分解层数对噪声消除效果的影响。信号处理结果表明 :合理选择小波基和小波分解的层数 ,能有效去除超声信号中的噪声。Aimed at noise cancelling cut for ultrasonic inspecting signal of seabed oil pipeline flaw, a kind of noise cancellation method based on wavelet analysis is studied. Its basic principle is introduced. And then allowing for wavelet kernel function and decomposition levels the measured ultrasonic signal is processed by using this method. The signal processing result shows that noise can be cancelled efficiently by choosing suitable wavelet kernel function and decomposition levels.

关 键 词：小波分析 超声检测 噪声消除 

分 类 号：TH878[机械工程—仪器科学与技术]