基于改进阈值的管道异常状况信号降噪研究  

Signal Denoising of Abnormal Condition of Pipeline Based on Improved Threshold

作　　者：周成江[1] 吴建德[1,2] 杨静宗[1,2] 

机构地区：[1]昆明理工大学信息工程与自动化学院,昆明650500 [2]云南省矿物管道输送工程技术研究中心,昆明650500

出　　处：《计算机与数字工程》2017年第4期608-612,636,共6页Computer & Digital Engineering

基　　金：国家自然科学基金项目(编号:51169007);云南省科技计划项目(编号:2013DH034)资助

摘　　要：针对矿浆管道输送系统异常状态下的检测信号含有不规则噪声,且硬阈值降噪会在不连续点处产生Gibbs效应,软阈值降噪会导致小波系数与信号之间误差增大。通过选取适合的小波函数、确定分解的层数、选取适合的阈值模型,分别用软阈值与硬阈值降噪法进行降噪,并对阈值进行改进,信噪比和降噪误差得到明显改善。通过改进的软阈值与硬阈值降噪法对矿浆管道堵塞信号进行降噪处理,结果表明,改进的硬阈值和软阈值降噪方法具有更好的降噪效果。The detection signal of slurry pipeline transportation system contains irregular noise under the abnormal state,the hard threshold de-noising produced Gibbs effect at the discontinuity point and soft threshold de-noising caused the error between the wavelet coefficient and the signal.By selecting the suitable wavelet function and comparing the decomposition of the number of layers,selecting the most suitable threshold model and soft threshold method and hard threshold method are used to reduce the noise and the threshold is improved,signal to noise ratio and noise reduction error are obviously improved.Improved soft threshold method and hard threshold method are used to deal with slurry pipeline jam signal.The results show that improved hard threshold and soft threshold method has better noise reduction effect.

关 键 词：矿浆管道 小波变换 信号降噪 改进阈值 

分 类 号：TN911.4[电子电信—通信与信息系统]