长春大学学报（自然科学版）2016，Vol.26Issue(6)：33-35,52,4.
DDAG双支持向量机在ERT系统流型识别中的应用研究
Research on the Application of DDAG Bi-support Vector Machine in Flow Regime Identification of Electrical Resistance Tomography System
张华1
作者信息
- 1. 吉林建筑大学城建学院 计算机科学与工程系，长春130011
- 折叠
摘要
Abstract
Two-phase fluid has complex flow characteristics.The exact identification of flow regime is the foundation for measuring two-phase flow’ s parameter accurately. According to electrical resistance tomography( ERT) system and flow regime of oil-water two-phase flow, wavelet packet analysis is adopted to extract the features of the differential pressure fluctuation signal measured by ERT system, then the extracted feature data is input to the prepared DDAG bi-support vector machine to carry out multi-class identification. Experi￣mental results showed that the DDAG bi-support vector machine is an effective and accurate method of regime identification.关键词
电阻层析成像/流型识别/小波包/DDAG双支持向量机Key words
ERT/flow regime identification/wavelet packet/DDAG bi-support vector machine分类
信息技术与安全科学引用本文复制引用
张华..DDAG双支持向量机在ERT系统流型识别中的应用研究[J].长春大学学报（自然科学版）,2016,26(6):33-35,52,4.
