%0 Journal Article
%T ECT and LS-SVM Based Void Fraction Measurement of Oil-Gas Two-Phase Flow
%J Iranian Journal of Chemistry and Chemical Engineering (IJCCE)
%I Iranian Institute of Research and Development in Chemical Industries (IRDCI)-ACECR
%Z 1021-9986
%A Peng, Zhenrui
%A Yin, Hong
%D 2010
%\ 03/01/2010
%V 29
%N 1
%P 41-50
%! ECT and LS-SVM Based Void Fraction Measurement of Oil-Gas Two-Phase Flow
%K Void fraction
%K Two-phase flow
%K Electrical Capacitance Tomography (ECT)
%K Least Squares Support Vector Machine (LS-SVM)
%K Real-Coded Genetic Algorithm (RC-GA)
%R 10.30492/ijcce.2010.6728
%X A method based on Electrical Capacitance Tomography (ECT) and an improved Least Squares Support Vector Machine (LS-SVM) is proposed for void fraction measurement of oil-gas two-phase flow. In the modeling stage, to solve the two problems in LS-SVM, pruning skills are employed to make LS-SVM sparse and robust; then the Real-Coded Genetic Algorithm is introduced to solve the difficult problem of parameters selection in LS-SVM then. In the measurement process, the flow pattern of oil-gas two-phase flow is identified by using fast back-projection image reconstruction and a fuzzy pattern recognition technique and the void fraction is computed using the void fraction model corresponding to the identified flow pattern. Experimental results demonstrate that both the improvement of LS-SVM and the parameter optimization are effective. The results also show that the real-time performance of the proposed void fraction measurement method is good, and the measurement precision can satisfy the application requirement.
%U http://www.ijcce.ac.ir/article_6728_85a292f5803a2f78d923c1a9469fac58.pdf