Time-frequency analysis of vertical upward oil-water two phase flow
We carried out vertical upward oil-water two phase flow experiment and measured fluctuation signals from mini-conductance probes and the vertical multielectrode array (VMEA). We first define three observed flow patterns in terms of mini-conductance probe. Then, based on the signals obtained from VMEA, we use Adaptive Optimal Kernel Time-Frequency Representation (AOK TFR) to investigate oil-water flow patterns from time-frequency perspective. Furthermore, we propose two characteristic parameters, i.e., total energy, and time-frequency entropy, to quantitatively characterize the dynamical characteristics of different flow patterns. The results indicate that AOK TFR is an effective tool for characterizing and distinguishing different oilwater flow patterns.
Oil-water two phase flow VMEA sensor Mini conductance probe time-frequency analysis
Meng Du Ning-De Jin Zhong-Ke Gao Zhen-Ya Wang Ping Chen
School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China
国际会议
The 7th International Symposium on Measurement Techniques for Multiphase Flows(第七届国际多相流测试技术会议)
天津
英文
107-114
2011-09-17(万方平台首次上网日期,不代表论文的发表时间)