Identification Of Two-Phase Flow Regime Using Support Vector Machines

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.