Flow-pattern identification of gas-liquid two-phase flow based on capacitively coupled contactless conductivity detection

Author

Wang, Lei ; Huang, Zhiyao ; Wang, Baoliang ; Ji, Haifeng ; Li, Haiqing

Author_Institution

Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou, China

fYear

2011

fDate

10-12 May 2011

Firstpage

1

Lastpage

4

Abstract

The feasibility and potential of applying capacitively coupled contactless conductivity detection (C⁴D) technique to flow pattern identification of gas-liquid two-phase flow is investigated. Conductivity signals of two-phase flow are obtained by a C⁴D sensor, and flow pattern identification is implemented by using SVM method. Experimental results show that the identification accuracies of five typical flow patterns (stratified, wavy, bubbly, slug and annular flow) are satisfactory. This preliminary work verifies that C⁴D is an effective way to implement online flow pattern identification of gas-liquid two-phase flow and it may have a broad perspective in related industrial field.

Keywords

flow measurement; support vector machines; two-phase flow; SVM method; capacitively coupled contactless conductivity detection; flow-pattern identification; gas-liquid two-phase flow; Accuracy; Capacitance; Conductivity; Electrodes; Feature extraction; Fluid flow measurement; Support vector machines; Capacitively coupled contactless conductivity detection; Flow pattern identification; Support vector machine; Two-phase flow;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference (I2MTC), 2011 IEEE

Conference_Location

Binjiang

ISSN

1091-5281

Print_ISBN

978-1-4244-7933-7

Type

conf

DOI

10.1109/IMTC.2011.5944085

Filename

5944085