Title :
De-noising of Differential Pressure Signal of Two-Phase Flow Based on ICA
Author_Institution :
Zhejiang Police Coll., Hangzhou
Abstract :
A new method based on Independent Component Analysis (ICA) is proposed to de-noise the differential pressure signal of oil-gas two-phase flow. The ICA-based de-noising method is firstly verified by de-noising two simulated signals with high SNR and low SNR respectively, and then the proposed method is applied to the differential pressure signal of oil-gas two-phase flow. The correlation between the original signal and the de-noised signal is selected as a criterion to evaluate the de-noising effect, and kurtosis, a higher-order statistical quantity, provides another evidence. The experimental results show the effectiveness of the presented method.
Keywords :
flow; independent component analysis; signal denoising; independent component analysis; oil-gas two-phase flow; pressure signal denoising; statistical quantity; Biomedical measurements; Biomedical signal processing; Circuit noise; Independent component analysis; Information analysis; Noise reduction; Pressure measurement; Signal analysis; Signal processing; Working environment noise; De-noise; Differential pressure signal; ICA; Two-phase flow;
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
DOI :
10.1109/ICNC.2008.732
