De-noising of Differential Pressure Signal of Two-Phase Flow Based on ICA

Author

Li, Qiangwei

Author_Institution

Zhejiang Police Coll., Hangzhou

Volume

5

fYear

2008

fDate

18-20 Oct. 2008

Firstpage

485

Lastpage

488

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation, 2008. ICNC '08. Fourth International Conference on

Conference_Location

Jinan

Print_ISBN

978-0-7695-3304-9

Type

conf

DOI

10.1109/ICNC.2008.732

Filename

4667482