Gas/liquid two-phase flow regime identification in horizontal pipe using support vector machines

Author

Qi, Guo-Hua ; Dong, Feng ; Xu, Yan-Bin ; Wu, Meng-Meng ; Hu, Jun

Author_Institution

Sch. of Electr. & Autom. Eng., Tianjin Univ., China

Volume

3

fYear

2005

fDate

18-21 Aug. 2005

Firstpage

1746

Abstract

Flow regime is one of the fundamental parameters with important engineering significance in two-phase flow systems, and has always been an important aspect of two-phase flow research. In this paper, the support vector machine (SVM) method in statistics theories was adopted to analyze the measured data of electrical resistance tomography (ERT) system so that the flow regime identification of gas/liquid two-phase in horizontal pipe was carried out. The analysis result of experiment data indicates that this method can obtain an inspiring result.

Keywords

data analysis; electric resistance; support vector machines; tomography; two-phase flow; electrical resistance tomography; gas/liquid two-phase flow regime identification; horizontal pipe; support vector machine; Capacitance measurement; Chemical industry; Conductivity measurement; Electric resistance; Electric variables measurement; Electrical resistance measurement; Fluid flow; Fluid flow measurement; Support vector machines; Tomography; Electrical Resistance Tomography; Flow Regime Identification; Support Vector Machine; Two-Phase Flow;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on

Conference_Location

Guangzhou, China

Print_ISBN

0-7803-9091-1

Type

conf

DOI

10.1109/ICMLC.2005.1527227

Filename

1527227