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出 处:《中国电机工程学报》2008年第35期49-56,共8页Proceedings of the CSEE
基 金:吉林省科技发展项目(20040513)
摘 要:以35号润滑油,空气和自来水为试验介质,应用高速摄像机对垂直上升管内的油气水三相流的6种典型流型进行了动态图像的拍摄。提取每一帧图像的灰度均值组成时间序列,对其进行混沌特性分析,主要对互信息法,自相关法,平均位移法以及(去偏)自相关法4种求延迟的方法进行了对比,同时结合功率谱、混沌关联维与HURST指数对油气水三相流的流型形成机理进行了分析。试验结果表明:垂直上升管中油气水三相流的动态图像灰度波动信号具有混沌特征,能够对三相流几种典型流型进行很好的表征。Shooting the dynamic image of the oil-gas-water three-phase flow six typical flow type with the application of high-speed camera was in the vertical upward pipe where was 35# lubricants, air and water as the test medium. Extracting the mean gray of every frame image was to compose time series. Analyzed the chaos of the time series. Methods for the delay time, mainly with the mutual information, the self-relevant law, the average displacement and the C-C algorithm were compared, as well as power spectrum ,chaos associated & HURST index were employed. The oil-gas-water three-phase flow type forming mechanism was analyzed. The test results show that the chaos characteristic of the dynamic image gray fluctuating signals of the oil-gas-water three-phase flow in vertical upward pipe can characterize the three-phase typical flow type clearly.
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