【摘要】 采用一种基于广义熵概念的Kolmogorov熵计算方法来提取时间序列的复杂性特征 ,进而对油水两相流流型进行表征 ,用Mackey Glass方程作算例验证了该复杂性特征提取方法的可靠性 .在此基础上对油水两相流实验电导波动信号的Kolmogorov熵表征结果进行了分析 ,指出Kolmogorov熵对流型转变的敏感性 ,并且发现其结果与先前研究的时间序列电导波动信号功率谱复杂性特征及分形和混沌表征结果较好地对应和统一 ,表明了Kol mogorov熵对油水两相流流型变化具有敏感的“指示器”特性 .更多还原

【Abstract】 A new computation method of Kolmogorov entropy based on the concept of general entropy was used to extract the complexity of time series in order to characterize the oil/water two phase flow patterns,and was proved reliable by an example of the Mackey-Glass Equation.The characterization results of Kolmogorov entropy for the experimental fluctuating signals of conductance are analyzed, and the sensitivity of the Kolmogorov entropy to flow pattern variations is confirmed. Also the results correspond to the complex power spectrum characteristics and characterization results of the fractal and chaos which was presented in the authors’ previous study. It shows that Kolmogorov entropy is a sensitive "indicator" of oil/water two phase flow pattern variations.更多还原