Separation of Gas-Liquid Two-Phase Flow through Independent Component Analysis

Xu, Yanbin and Wang, Huaxiang and Cui, Ziqiang and Dong, Feng and Yan, Yong (2010) Separation of Gas-Liquid Two-Phase Flow through Independent Component Analysis. IEEE Transactions on Instrumentation and Control, 59 (5). pp. 1294-1302. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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Two-phase flow measurement has attracted a major interest in the past four decades due to its wide range of applications in industry. This paper introduces a new method to separate the gas phase from the liquid phase through a blind source separation algorithm, without a separate device, based on the assumption that the two phases are separated and their independence is reflected in the statistical relation between the electrical signals generated by the process. Experimental data are obtained from a gas–liquid two-phase flow rig through electrical resistance tomography (ERT). An independent component analysis (ICA) method is applied to separate the gas phase from the liquid phase. The efficiency of the ICA method with the ERT data is assessed through experiments. The independent components (ICs) are interpreted by comparing them with the reconstructed images by ERT. The comparative studies show that ICA is effective in extracting phase information of gas–liquid two-phase flow, particularly for stratified, slug, and wave flows. Based on the extracted ICs, the cross-correlation technique is adopted to estimate the mean velocity of the liquid phase in the central area, the gas phase at the interface, and the liquid phase around the pipe wall and the liquid slug. Through correlating ICs representing different spatially independent processes from the upstream and downstream planes after the elimination of cyclostationary characteristics of ICs, the mean velocity of different spatially processes is obtained.

Item Type: Article
Uncontrolled keywords: Cross-correlation technique, cyclostationary characteristics, electrical resistance tomography (ERT), independent component analysis (ICA), two-phase flow
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA166 Instrumentation
Divisions: Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems
Depositing User: J. Harries
Date Deposited: 23 Apr 2010 10:42
Last Modified: 02 May 2014 09:13
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