Signal Denoising of Abnormal Condition of Pipeline Based on Improved Threshold
ZHOU Chengjiang
WU Jiande
YANG Jingzong
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.
Keywords：slurry pipelinewavelet transformsignal denoisingimproved threshold
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 608-612,636 )