提出一种基于时频变换与复杂网络相结合的垂直管道气液两相流流动特性分析方法。该方法基于数字化电阻层析成像系统采集的测量数据,通过Choi-Williams分布(CWD)、自适应最优核(AOK)以及平滑伪Wigner-Ville分布(SPWVD)三种方法对预处理后的一维时间序列进行时频分析,进而从时频平面中提取能量序列。分别对原始时间序列和三类能量序列使用有限穿越可视图方法构建复杂网络。最终使用平均集聚系数、平均度以及全局效率3个网络指标来表征从泡状流到段塞流的演变。结果表明,由原始序列构建的复杂网络,3个网络指标规律性较差;AOK与SPWVD所对应的平均集聚系数与全局效率仅在部分工况下具有规律性;而CWD所对应的3个网络指标均呈现较好的规律,能够更有效地揭示气液两相流复杂的流动行为。
Abstract
A method for analyzing the flow characteristics of gas-liquid two-phase flow in vertical pipelines based on time-frequency transformation and complex networks is proposed. This method is based on the measurement data collected by a digital electrical resistance tomography system. Three methods, Choi-Williams distribution (CWD), adaptive optimal kernel (AOK), and smooth pseudo Wigner-Ville distribution (SPWVD), are used to perform time frequency analysis on the pre-processed one-dimensional time series, and then extract energy sequences from the time frequency plane. The limited penetrable visibility graph method is used to construct complex networks for original time series and three types of energy series, respectively. Finally, three network indicators, namely, average clustering coefficient, average degree, and global efficiency, are used to characterize the evolution from bubbly flow to slug flow. The results show that the three network indicators of the complex network constructed from the original sequence are irregular; The average clustering coefficient and global efficiency corresponding to AOK and SPWVD are only regular under some operating conditions; The three network indicators corresponding to CWD all exhibit good regularity, which can more effectively reveal the complex flow behavior of gas-liquid two-phase flow.
关键词
流量计量 /
气液两相流;流动特性;时频分析;复杂网络 /
Choi-Williams分布
Key words
flow measurement /
gas-liquid two-phase flow;flow characteristic;time-frequency analysis;complex network /
Choi Williams distribution
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