Title :
Feature Extraction Method for Gas/Liquid Two-Phase Flow Based on Wavelets Transform
Author :
Wu, Meng-Meng ; Dong, Feng ; Qi, Guo-Hua
Author_Institution :
Sch. of Electr. Eng. & Autom., Tianjin Univ.
Abstract :
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
Keywords :
feature extraction; physics computing; support vector machines; tomography; two-phase flow; wavelet transforms; MRA; SVM; electrical resistance tomography; feature extraction method; gas-liquid two-phase flow; multi resolution analysis; support vector machine; wavelets transform; Electric resistance; Electrical resistance measurement; Feature extraction; Fluid flow; Fluid flow measurement; Multiresolution analysis; Nonlinear dynamical systems; Support vector machines; Wavelet analysis; Wavelet transforms; Feature extraction; electrical resistance tomography; two-phase flow; wavelets transform;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.258752
