计算机与数字工程2017，Vol.45Issue(4)：608-612,636,6.DOI:10.3969/j.issn.1672-9722.2017.04.002
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
摘要
Abstract
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Key words
slurry pipeline/wavelet transform/signal denoising/improved threshold分类
信息技术与安全科学引用本文复制引用
周成江,吴建德,杨静宗..基于改进阈值的管道异常状况信号降噪研究[J].计算机与数字工程,2017,45(4):608-612,636,6.基金项目
国家自然科学基金项目(编号:51169007) （编号:51169007）
云南省科技计划项目(编号:2013DH034)资助. （编号:2013DH034）
