基于交互式递归分析的两相流流型识别方法

doi:10.16182/j.issn1004731x.joss.17-0145

系统仿真学报 ›› 2019, Vol. 31 ›› Issue (4): 720-726.doi: 10.16182/j.issn1004731x.joss.17-0145

基于交互式递归分析的两相流流型识别方法

何永勃, 董玉珊, 薛荣荣

中国民航大学电子信息与自动化学院,天津 300300

收稿日期:2017-03-27 修回日期:2017-08-04 出版日期:2019-04-08 发布日期:2019-11-20
作者简介:何永勃(1971-),男,陕西蒲城,博士,副教授,研究方向为航空检测技术及智能化仪表。
基金资助:
“973”计划基金(2012CB720100), 民航科技项目基金(MHRD20150220)

Recognition Method on Two-phase Flow Regime Based on Cross Recursive Analysis

He Yongbo, Dong Yushan, Xue Rongrong

School of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China

Received:2017-03-27 Revised:2017-08-04 Online:2019-04-08 Published:2019-11-20

摘要/Abstract

摘要： 针对存在两相流流型识别速度慢且识别准确度不高的问题,提出了一种基于交互式递归分析无须成像的流型识别方法。利用邻域误差法对电容传感器测得的流型电容值进行分析得到最优嵌入维数,对几种典型流型建立交互式递归图的嵌入维数;再利用交互式递归对仿真流型及参考流型的电容值进行分析,得到一组交互式递归图;通过比较交互式递归图主对角线递归黑点的比例来确定流型的相似度。对典型油气两相流流型识别做了仿真实验,结果表明,该方法可准确识别两相流流型,且识别速度快。

关键词: 两相流, 交互式递归分析, 邻域误差法, 平均互信息法, 状态识别, 递归图

Abstract: Aiming at the problems that the two-phase flow regime recognition speed is slow and the recognition accuracy is low, a flow regime recognition method is proposed based on cross recursive analysis (CRA) without imaging. The false nearest neighbors are used to analyze flow regime capacitance values measured by capacitance sensor to obtain an optimal embedding dimension; and the embedding dimension of cross recursive plot is established for several typical flow patterns. The capacitance values of the simulation flow regimes and the reference flow regimes are analyzed using cross recursion to get a set of cross recursive plots. The similarity of two flow regimes is determined by comparing the ratio of black recursive dots on the main diagonal of cross recursive plot. The simulation experiments of typical oil-gas two-phase flow regime identification are conducted. The simulation result shows that the method can accurately identify different flow regimes of two-phase flow; and the recognition rate is fast.

Key words: two-phase flow, cross recursive analysis, false nearest neighbors, average mutual information method, state recognition, recurrence plot

中图分类号:

TP391.9

何永勃, 董玉珊, 薛荣荣. 基于交互式递归分析的两相流流型识别方法[J]. 系统仿真学报, 2019, 31(4): 720-726.

He Yongbo, Dong Yushan, Xue Rongrong. Recognition Method on Two-phase Flow Regime Based on Cross Recursive Analysis[J]. Journal of System Simulation, 2019, 31(4): 720-726.

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基于交互式递归分析的两相流流型识别方法

Recognition Method on Two-phase Flow Regime Based on Cross Recursive Analysis

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