Abstract
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.
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