Journal of Applied Science and Engineering

Published by Tamkang University Press

1.30

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1.60

CiteScore

Jingzong Yang This email address is being protected from spambots. You need JavaScript enabled to view it.1, Xiaodong Wang2,3, Jiande Wu2,3 and Zao Feng2,3

1School of Information, Baoshan University, Baoshan, Yunnan 678000, P.R. China
2Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, P.R. China
3Engineering Research Center for Mineral Pipeline Transportation of Yunnan Province, Kunming 650500, P.R. China


 

Received: January 10, 2018
Accepted: October 28, 2018
Publication Date: March 1, 2019

Download Citation: ||https://doi.org/10.6180/jase.201903_22(1).0001  

ABSTRACT


In order to separate the noise sources of pipeline blockage signals from complex single channel signals effectively, a noise reduction method based on complete ensemble empirical mode decomposition (CEEMD) and robust independent component analysis (RobustICA) is proposed. First, the intrinsic mode function (IMF) obtained by CEEMD is analyzed, and then the related IMF components are reorganized and a virtual channel is constructed. Finally, the virtual channel and the original signal are input as the blind source separation signal, and RobustICA is used to separate the signal source and noise, so as to achieve the purpose of reducing the noise. Through the analysis of the noise reduction effect of simulation signal and pipeline acoustic blockage detection signal, the results show that proposed method is superior to FastICA and EEMD based denoising method in denoising effect and performance index.


Keywords: CEEMD, RobustICA, Noise Reduction, Pipeline


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