Independent Component Analysis and its application to signal processing of two-phase flow
Qiangwei Li · 2008
Since non-Gaussian characteristic of pressure signal of two-phase flow and Gaussian characteristic of noise match the nature of Independent Component Analysis (ICA), the new method based on ICA for noise processing of pressure signal of two-phase flow is presented. ICA is applied firstly to a simulation signal with high SNR and a simulation signal with low SNR. The simulation results show that ICA can separate useful information even in the presence of severe noise environments. Then ICA is applied to the pressure signal of gas-solid two-phase flow, and the pressure signal and the noise signal are separated successfully. The primary researches demonstrate the non-Gaussian characteristic of pressure signal of gas-solid two-phase flow and show the effectiveness of ICA method in the noise processing of pressure signal of two-phase flow.