Feature Extraction Method for Gas/Liquid Two-Phase Flow Based on Wavelets Transform

Gas/liquid two-phase flow system is a complex, nonlinear and dynamic system, therefore is difficult to measure. Basing on the application of electrical resistance tomography (ERT) in gas/liquid two-phase flow of vertical pipe, wavelets transform is used to analyses the measured data from ERT system. Furthermore, according to the multi-resolution analysis (MRA), the feature vector of multiple scales wavelet energy that can express the essential information of gas/liquid two-phase flow is constructed. At last, the support vector machine (SVM) method in statistics theories is adopted to validate the feasibility of the feature extraction method, and the higher recognizing rate of flow regime is obtained