Title :
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
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;
Conference_Titel :
Instrumentation and Measurement Technology Conference (I2MTC), 2011 IEEE
Conference_Location :
Binjiang
Print_ISBN :
978-1-4244-7933-7
DOI :
10.1109/IMTC.2011.5944085
