A Lab VIEW Based Software for Online Identification of Gas-Water Two-Phase Flow Regime

摘要：

The investigation of the two-phase flow measurement is important in industrial processes investigation. The research of the flow regimes identification has more significance. As a new instrument, virtual instrument combines computer resources, measurement and control hardware, data analysis and graphical user interface software together, which has a wide range of applications in practice. Neural network and Lab VIEW are combined and applied in flow regimes identification, which advance the capability and the developing efficiency of the testing system. This paper introduces the software of gas-water two-phase flow regime on line identification based on LabVIEW with the method of neural networks.

关键词： Two-Phase Flow Electrical Resistance Tomography Flow Regime Identification Neural Network LabVIEW Real-Time Parameter.

作者: LI Feng DONG Feng ZHANG Fusheng

作者单位: Tianjin Key Laboratory of Process Measurement and Control, School of Electrical Engineering and Automation Tianjin University, Tianjin 300072, China

会议类型: 国际会议

会议名称: The 7th International Symposium on Measurement Techniques for Multiphase Flows(第七届国际多相流测试技术会议)

会议地点: 天津

会议语种:英文

页码: 147-153

在线出版日期: 2011-09-17（万方平台首次上网日期，不代表论文的发表时间）