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.
