摘要
为了更加准确地了解气液二相流动特性,文中用能量熵、奇异熵及Lyapunov指数结合经验模式分解(EMD)的方法对气液二相流进行研究。先对流型信号进行经验模式分解,然后由特征向量计算出经验模式能量熵、奇异熵及最大Lyapunov指数。计算结果表明:经过EMD分解的流型信号的2种熵值及Lyapunov指数能够体现信号的变化细节,从信号的特点上推测出各种流型的流动特点,说明能量熵、奇异熵及Lyapunov指数结合EMD的方法可以对气液二相流动特性进行表征。
In order to understand the characteristics of gas-liquid two-phase flow more accurately,the gas-liquid two-phase flow was studied by combining energy entropy,singular entropy and Lyapunov exponent with empirical mode decomposition（EMD）.Firstly the flow signals were decomposed by EMD,and then the energy entropy,singular entropy and Lyapunov exponent were calculated from the characteristic vectors.The calculation results demonstrate that the energy entropy,singular entropy and Lyapunov exponent of the flow signals decomposed by EMD can show the change details of the signals.From the signal features,the flow characteristics of various flow patterns can be inferred,so the method of energy entropy,singular entropy and Lyapunov exponent combined with EMD can characterize the characteristics of gas-liquid two-phase flow.
出处
《化学工程》
CAS
CSCD
北大核心
2011年第10期59-62,共4页
Chemical Engineering(China)
基金
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)
