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《Chemical Engineering(China)》 2011-08
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Application of two entropy measures to analyzing complexity of multiphase flow signals

ZHOU Yun-long 1,LIU Xu 1,LI Hong-wei 2(1.College of Energy Resource and Dynamic Engineering,Northeast Dianli University,Jilin 132012,Jilin Province,China;2.College of Energy Resource and Dynamic Engineering,North China Electric Power University,Beijing 102206,China)  
To study the characteristics of gas-liquid two-phase flow for deep understanding of gas-liquid two-phase flow,based on the measure of nonlinear complexity,i. e. approximate entropy and sample entropy,the complexity of bubbly flow,slug flow and mist flow were studied,and the tolerance r and the sequence length N which can affect the arithmetic were discussed. The results demonstrate that bubbly flow has the highest entropy,the slug flow has the lowest entropy,and the entropy of the mist flow is in the middle. When the sequence length N is bigger than 400,both approximate entropy and sample entropy can distinguish the bubbly flow,slug flow and mist flow. The result shows that the complexity of bubble flow is the highest,followed by the mist flow,and slug flow is the lowest,which indicates that the movement of bubbly flow is the most complex,the movement of slug flow is most regular. The stochastic characteristics of bubble flow show higher and oscillating entropy,the intermittence of gas slug and liquid slug of slug flow was represented as lower and stable entropy,the unstable and oscillating characteristics of mist flow behaves as the entropy between bubble flow and slug flow.
【Fund】: 国家自然科学基金资助项目(50976018);; 吉林省自然科学基金资助项目(20101562)
【CateGory Index】: O359.1
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