摘要
传统的流型识别方法对流型的特征缺乏一个量化的评价标准,只能由识别者采用模糊的语言来描述特征,在很大程度上依赖于识别者的主观判断。为了克服传统流型识别方法的缺点,对水平管内气液两相流进行测量,得到了反映两相流波动特性的压差波动信号,采用 Hurst 分析描述了水平管内气液两相流不同流型的压差波动特征,发现压差波动信号中存在着不同程度的周期成分。通过对不同流型的压差波动信号的 Hurst 指数 H 进行计算,发现不同流型的 H 值有很大差别,可根据 Hurst 指数 H 值的大小来识别流型,从而为流型识别提供了一种有效方法。
The traditional flow regime identification methods described by fuzzy language are lack of quantitative criterion,so the precision of these methods depends to a great extent on subjective judge of observers.In order to overcome the shortcomings,the differential pressure fluctuation signals of gas-liquid two-phase flow in the horizontal pipeline are obtained and the characters of the signals are described by means of Hurst's analysis.The result shows the periodic component is found in the differential pressure fluctuation signals.By calculating the Hurst exponents of signals of different flow regimes, the authors found that there exists great distinction of Hurst exponents among different flow regimes,so flow regimes can be identified by Hurst exponents.
出处
《华北电力大学学报（自然科学版）》
CAS
北大核心
2004年第5期48-51,共4页
Journal of North China Electric Power University：Natural Science Edition
