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《Journal of Dynamics and Control》 2004-03
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Jin Ningde Li Weibo ( School of Electrical Engineering and Automation , Tianjin University, Tianjin 300072, China )  
Symbolic time series analysis is a new tool for analysis of experimental data, which has been successfully applied in many fields, bacause it can increase the efficiency of finding and quantifying information from dynamic systems,and reduce sensitivity to measurement noise. In this paper,first we proposed a method, which used three statistical quantities to characterize the symbolic time series, and has been validated by Henon equation. Then we applied the method to analyze the experimental data of oil/water two-phase flow in vertical upwards pipes. The analysis showed that the calculated statistical quantities from the symbolic time series were sensitive to the transitional flow pattern variations of oil/water two phase flow.
【Fund】: 国家自然科学基金(60374041) 教育部留学回国人员科研启动基金资助项目~~
【CateGory Index】: TP274.2;
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6 SUN Bin,ZHOU Yun-long(Department of Thermal Power,Northeast China Institute of Electric Power Engineering,Jilin 132012,China,);Characterization of flow regimes of air-water two-phase flow in horizontal pipe using chaotic analysis[J];Journal of Harbin Institute of Technology;2006-11
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10 ZHAO Qingjun, HE Limin(School of Storage & Transportation and Architecture Engineering, University of Petroleum, Dongying 257061,China);The Nonlinear Analysis of Liquid Slug Length Fluctuation in Horizontal Pipe[J];Chinese Journal of Nuclear Science and Engineering;2003-01
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