A New Method for All-around Identification of Two-Phase Flow Pattern Based on SVM and ECT

摘要：

　　Based on electrical capacitance tomography(ECT)technology and support vector machine(SVM)algorithm,a new method for all-around identification of two-phase flow pattern is proposed combining radial information with axial information of the gas-solid two-phase flow.Compared with the conventional sectional identification method,this method adds another axial one and thus providing more information for the industry.The SVM model of the radial identification is built on basis of the feature parameters extracted from the 28 capacitance values of the 8-electrode capacitance.Then the axial recognition is accomplished with the help of the radial identification results.Both static and dynamic experiments were carried out in lab and the identification accuracy separately reached 96.7%and 95.3%.

关键词： electrical capacitance tomography (ECT) support vector machine (SVM) feature extraction wavelet transform two-phase flow

作者: Yutao Wang Shuwang Di

作者单位: School of Information Science and Engineering,Northeastern University,Shenyang,110004 China

会议类型: 国际会议

会议名称: 第26届中国控制与决策会议(2014 CCDC)

会议地点: 长沙

会议语种:英文

页码: 3268-3273

在线出版日期: 2014-05-31（万方平台首次上网日期，不代表论文的发表时间）