PSO-SVM model for gas/liquid two-phase flow regime recognition

The correct identification of two-phase flow regime is the basis for the accurate measurement of other flow parameters in two-phase flow measurement. A PSO-SVM(Particle Swarm Optimization and Support Vector Machine) model, which can overcome selecting parameters needed in SVM model, was developed to identify the flow regime. The application of PSO SVM improves the accuracy of flow regime recognition for gas/liquid two-phase flow. The results show that the PSO-SVM model, which can identify the flow regime correctly, is an effective approach.