Identification method of gas-liquid two-phase flow regime based on distance evaluation

In order to overcome the problem that the irrelevant features of gas-liquid tow-phase flow be fused are too many, a novel identification method of gas-liquid two-phase flow regimes based on distance evaluation and support vector machine (SVM) is proposed. The differential pressure fluctuation signal are decomposed via empirical mode decomposition (EMD) and wavelet packet method respectively, and the feature characteristic parameters in time-domain are extracted from the original signals and each decomposed signal to construct the fusion features. Furthermore, a feature evaluation method is applied to calculate evaluation factors of the fusion features, and the corresponding sensitive features are selected according of the evaluation factors and input into the SVM to automatically identify flow regime. The identification results of air-water two-phase flow regime in horizontal pipe show that this method enables to precisely extract flow regime sensitive feature, reduce the scale of operation, increase the identification accuracy.