Gas-liquid two-phase flow pattern analysis based on multiscale symbolic transfer entropy

被引：5
|
作者：
Fan, Chunling [1 ]
Qin, Jiangfan [1 ]
Fan, Qihua [1 ]
Zhang, Chuntang [1 ]
机构：
[1] Qingdao Univ Sci & Technol, Coll Automat & Elect Engn, Qingdao 266061, Peoples R China
来源：
ZEITSCHRIFT FUR NATURFORSCHUNG SECTION A-A JOURNAL OF PHYSICAL SCIENCES | 2021年 / 76卷 / 10期
关键词：
gas-liquid two-phase flow; multi-scale; symbolic; transfer entropy; DYNAMIC CHARACTERISTICS; IDENTIFICATION; DIAMETER;
D O I：
10.1515/zna-2021-0110
中图分类号：
O64 [物理化学（理论化学）、化学物理学];
学科分类号：
070304 ; 081704 ;
摘要：
This paper presents a multiscale symbolic transfer entropy (MSTE) to extract the features of gas- liquid two-phase flow and distinguish flow patterns effectively. The role of the MSTE in typical chaotic time series is investigated. Then the characteristics of the flow patterns about three gas- liquid two-phase flows are analyzed from the perspective of causal analysis. The results show that the MSTE can identify different flow patterns and characterize the dynamic characteristics of flow patterns, providing a new method for identifying two-phase flow accurately. In addition, the MSTE reduces the influence of noise to a certain extent and preserves the dynamic characteristics based on simplifying the original sequence. Compared with traditional algorithm, the MSTE has fast calculation speed and anti-interference characteristics and can express the essential features well.
引用
收藏
页码：923 / 932
页数：10
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