Application of conductance signals analysis of gas-liquid two-phase flow patterns based on symbolic dynamics entropy

doi:10.3969/j.issn.0438-1157.2012.11.015

CIESC Journal ›› 2012, Vol. 63 ›› Issue (11): 3486-3492.DOI: 10.3969/j.issn.0438-1157.2012.11.015

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Application of conductance signals analysis of gas-liquid two-phase flow patterns based on symbolic dynamics entropy

LI Hongwei¹, ZHOU Yunlong¹, REN Sulong², YANG Yue³

1. School of Energy Resource and Dynamic Engineering, Northeast Dianli University, Jilin 132012, Jilin, China;
2. Hebei Electric Power Research Institute, Shijiazhuang 050021, Hebei, China;
3. School of Electrical Engineering, Northeast Dianli University, Jilin 132012, Jilin, China

Received:2012-03-05 Revised:2012-04-20 Online:2012-11-05 Published:2012-11-05
Supported by:
supported by the National Natural Science Foundation of China(50976018)and the Natural Science Foundation of Jilin Province(20101562).

符号动力学信息熵在气液两相流型电导信号分析中的应用

李洪伟¹, 周云龙¹, 任素龙², 杨悦³

1. 东北电力大学能源与动力工程学院, 吉林省吉林市 132012;
2. 河北省电力研究院, 河北石家庄 050021;
3. 东北电力大学电气工程学院, 吉林省吉林市 132012

通讯作者: 李洪伟
作者简介:李洪伟(1982-),男,讲师。
基金资助:
国家自然科学基金项目(50976018);吉林省自然科学基金项目(20101562)。

Abstract

Abstract: The dynamics Shannon entropy H_kof the signal of time series is applied to nonlinear time series analysis because of less data demand and simpler calculation.It was used to analyze the signals of two-phase flow conductance.Firstly,the selection criteria of the parameters were analyzed through the application in white Gaussian noise.Secondly,the effect of different parameters in the two-phase flow pattern identification was discussed,and the H_k-up of flow pattern were compared with three typical simulated signals.Finally,the signals of two-phase flow conductance were analyzed by calculating the segmented H_k-up,and the evolutions of various flow patterns were analyzed.The dynamics Shannon entropy was an effective method for the analysis of two-phase flow conductance signals,different flow patterns could be distinguished and the evolution characteristics of different flow patterns could be identified.

Key words: symbolic dynamic, gas-liquid two-phase flow, flow patterns identification, entropy

摘要： 时间序列的符号动力学信息熵H_k因其计算简单快速,对数据量要求小,而被应用于非线性时间序列的分析中。将其应用于气液两相流型电导信号的分析中,首先通过其在高斯白噪声中的应用,来分析参数的选择标准。接下来讨论不同参数选择对气液两相流型识别的影响,并将流型信号的H_k-up同3种典型仿真信号进行对比。最后采用分段计算H_k-up的方法对气液两相流型电导信号进行分析,剖析了各种流型的演化规律。分析结果表明:符号动力学信息熵是一种有效的分析气液两相流电导信号的方法,能够有效区分不同流型,并能够反映不同流型的演化规律特性。

关键词: 符号动力学, 气液两相流, 流型识别, 信息熵

CLC Number:

TE312

LI Hongwei, ZHOU Yunlong, REN Sulong, YANG Yue. Application of conductance signals analysis of gas-liquid two-phase flow patterns based on symbolic dynamics entropy[J]. CIESC Journal, 2012, 63(11): 3486-3492.

李洪伟, 周云龙, 任素龙, 杨悦. 符号动力学信息熵在气液两相流型电导信号分析中的应用[J]. 化工学报, 2012, 63(11): 3486-3492.

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Application of conductance signals analysis of gas-liquid two-phase flow patterns based on symbolic dynamics entropy

符号动力学信息熵在气液两相流型电导信号分析中的应用

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