棒束通道气液两相流流型识别及动力学特性分析
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摘要
采集棒束通道实验台上气液两相流4种流型压差信号,计算4种流型的多尺度边际谱熵,对其进行流型识别及动力学特性分析。实验结果表明:多尺度边际谱熵能从整体上区分4种流型,从频域细节尺度定量揭示不同流型间的动力学特性;利用多尺度边际谱熵增率和谱熵均值联合分布可定量准确区分4种流型,对泡状-搅混流这种难以区分的过渡流型也有较好效果;与支持向量机结合具有运算速度快、识别率高的优点,准确率高达98.11%,适合流型的在线识别。
Four differential pressure signals of gas-liquid two-phase flow pattern in a rod bundle channel were collected and the multiple scale marginal spectrum entropies of four kinds of flow patterns were calculated,then the identification and dynamics characteristics of four kinds of flow patterns were analyzed. The experimental results show that multiple scale marginal spectrum entropy can distinguish four kinds of flow patterns from the whole,and the dynamics characteristics of different flow patterns can be revealed quantitatively from the detailed scale of frequency domain. The four kinds of flow patterns can be accurately distinguished by using multiple scale marginal spectrum entropy rate and spectral entropy mean joint distribution,and the bubbly and churn flow that it is difficult to distinguish such transitional flow also has a good effect. Combining with the support vector machine,the method has the advantages of fast operation and high recognition rate,its accuracy rate is up to 98. 11%,and is suitable for online identification of flow patterns.
Four differential pressure signals of gas-liquid two-phase flow pattern in a rod bundle channel were collected and the multiple scale marginal spectrum entropies of four kinds of flow patterns were calculated,then the identification and dynamics characteristics of four kinds of flow patterns were analyzed. The experimental results show that multiple scale marginal spectrum entropy can distinguish four kinds of flow patterns from the whole,and the dynamics characteristics of different flow patterns can be revealed quantitatively from the detailed scale of frequency domain. The four kinds of flow patterns can be accurately distinguished by using multiple scale marginal spectrum entropy rate and spectral entropy mean joint distribution,and the bubbly and churn flow that it is difficult to distinguish such transitional flow also has a good effect. Combining with the support vector machine,the method has the advantages of fast operation and high recognition rate,its accuracy rate is up to 98. 11%,and is suitable for online identification of flow patterns.
引文
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[10]邢桂来.离散傅里叶变换在电离辐射探测器性能分析中的应用[J].原子能科学技术,2012,46(2):239-242.XING Guilai.Application of DFT in performance analysis of detectors used for ionizing radiation measurement[J].Atomic Energy Science and Technology,2012,46(2):239-242(in Chinese).
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[13]周云龙,刘永奇,薛广鑫,等.基于EMD和边际谱频带能量的离心泵汽蚀故障诊断[J].化工学报,2012,63(2):545-550.ZHOU Yunlong,LIU Yongqi,XUE Guangxin,et al.Fault diagnosis of cavitation for centrifugal pump based on EMD and HHT marginal spsctrum energy[J].CIESC Journal,2012,63(2):545-550(in Chinese).
[14]陈忠圣,高慧慧,徐圆,等.基于离散傅里叶变换的过程工业报警泛滥序列聚类分析及应用[J].化工学报,2016,67(3):788-796.CHEN Zhongsheng,GAO Huihui,XU Yuan,et al.Discrete Fourier transform-based alarm flood sequence cluster analysis and applications in process industry[J].CIESC Journal,2016,67(3):788-796(in Chinese).
[15]董红生,邱天爽,张爱华,等.基于HHT边际谱熵和能量谱熵的心率变异信号的分析方法[J].中国生物医学工程学报,2010,29(3):336-344.DONG Hongsheng,QIU Tianshuang,ZHANG Aihua,et al.The analysis method of heart rate variability signal based on the hht marginal spectrum entropy and energy spectrum entropy[J].Chinese Journal of Biomedical Engineering,2010,29(3):336-344(in Chinese).
[16]周云龙,丁会晓,杨宁.棒束通道内气液两相流动摩擦阻力实验研究[C]∥中国工程热物理学会多相流学术会议论文集.南京:东南大学,2015.
[17]李洪伟,周云龙,杨悦,等.氮气-水两相流流型平滑Wigner三谱切片时频特征[J].化工学报,2013,64(10):3 571-3 580.LI Hongwei,ZHOU Yunlong,YANG Yue,et al.Time-frequencycharacteristics of smoothed Wigner tri-spectrum slices of nitrogen-water two-phase flow patterns[J].CIESC Journal,2013,64(10):3571-3 580(in Chinese).
[2]李洪伟,周云龙,宋倩,等.水平气液两相流流型图像信息递归特征分析[J].化工学报,2010,61(6):1 431-1 436.LI Hongwei,ZHOU Yunlong,SONG Qian,et al.Recursive feature of gas-liquid two-phase flow pattern based on information entropy series of flow image[J].CIESC Journal,2010,61(6):1 431-1436(in Chinese).
[3]周云龙,王红波.矩形小通道内气液两相流垂直向上流动特性[J].化工学报,2011,62(5):1226-1 232.ZHOU Yunlong,WANG Hongbo.Flow characteristics of gas-liquid two-phase flow in small vertical rectangular channel[J].CIESC Journal,2011,62(5):1 226-1 232(in Chinese).
[4]周云龙,孙振国.蛇形微通道气液两相流动特性[J].化工学报,2015,66(11):4 350-4 358.ZHOU Yunlong,SUN Zhenguo.Gas-liquid flow characteristics in serpentine microchannels[J].CIESC Journal,2015,66(11):4 350-4 358(in Chinese).
[5]李常伟,曹夏昕,孙立成,等.竖直窄矩形通道气液两相流流型识别研究[J].原子能科学技术,2012,46(9):1 055-1 060.LI Changwei,CAO Xiaxin,SUN Licheng,et al.Identification and study of flow patterns in narrow vertical rectangular channel[J].Atomic Energy Science and Technology,2012,46(9):1 055-1060(in Chinese).
[6]周云龙,顾杨杨.基于独立分量分析和RBF神经网络的气液两相流流型识别[J].化工学报,2012,63(3):796-799.ZHOU Yunlong,GU Yangyang.Flow regime identification of gas/liquid two-phase flow based ICA and RBF neural networks[J].CIESC Journal,2012,63(3):796-799(in Chinese).
[7]周云龙,孙斌.基于神经网络和D-S证据理论的气液两相流流型识别方法[J].化工学报,2006,57(3):607-613.ZHOU Yunlong,SUN Bin.Identification method of gas-liquid two-phase flow patterns based on neural network and D-S evidential theory[J].CIESC Journal,2006,57(3):607-613(in Chinese).
[8]樊春玲,金宁德,陈秀霆,等.两相流流动结构多尺度复杂熵因果关系平面特征[J].化工学报,2015,66(4):1 301-1 309.FAN Chunling,JIN Ningde,CHEN Xiuting,et al.Two-phase flow structure in multi-scale complexity entropy causality plane[J].CIESC Journal,2015,66(4):1 301-1 309(in Chinese).
[9]郑桂波,金宁德.两相流流型多尺度熵及动力学特性分析[J].物理学报,2009,58(7):4 485-4 492.ZHENG Guibo,JIN Ningde.Multiscale entropy and dynamic characteristics of two-phase flow patterns[J].Acta Physical Sinica,2009,58(7):4 485-4492(in Chinese).
[10]邢桂来.离散傅里叶变换在电离辐射探测器性能分析中的应用[J].原子能科学技术,2012,46(2):239-242.XING Guilai.Application of DFT in performance analysis of detectors used for ionizing radiation measurement[J].Atomic Energy Science and Technology,2012,46(2):239-242(in Chinese).
[11]HUANG N E,SHEN Z,LONG S R,et al.The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis[C]∥Proceedings of the Royal Society of London A:Mathematical,Physical and Engineering Sciences.[S.l.]:[s.n.],1998:993-995.
[12]赵凯,仲兆平,王肖祎,等.基于HHT法的流化床内生物质和石英砂双组分颗粒压差脉动信号分析[J].化工学报,2015,66(4):1 282-1 289.ZHAO Kai,ZHONG Zhaoping,WANG Xiaoyi,et al.Pressure fluctuation signal analysis of two-component biomass and quartz sand particles based on Hilbert-Huang transform in fluidized-bed[J].CIESC Journal,2015,66(4):1 282-1 289(in Chinese).
[13]周云龙,刘永奇,薛广鑫,等.基于EMD和边际谱频带能量的离心泵汽蚀故障诊断[J].化工学报,2012,63(2):545-550.ZHOU Yunlong,LIU Yongqi,XUE Guangxin,et al.Fault diagnosis of cavitation for centrifugal pump based on EMD and HHT marginal spsctrum energy[J].CIESC Journal,2012,63(2):545-550(in Chinese).
[14]陈忠圣,高慧慧,徐圆,等.基于离散傅里叶变换的过程工业报警泛滥序列聚类分析及应用[J].化工学报,2016,67(3):788-796.CHEN Zhongsheng,GAO Huihui,XU Yuan,et al.Discrete Fourier transform-based alarm flood sequence cluster analysis and applications in process industry[J].CIESC Journal,2016,67(3):788-796(in Chinese).
[15]董红生,邱天爽,张爱华,等.基于HHT边际谱熵和能量谱熵的心率变异信号的分析方法[J].中国生物医学工程学报,2010,29(3):336-344.DONG Hongsheng,QIU Tianshuang,ZHANG Aihua,et al.The analysis method of heart rate variability signal based on the hht marginal spectrum entropy and energy spectrum entropy[J].Chinese Journal of Biomedical Engineering,2010,29(3):336-344(in Chinese).
[16]周云龙,丁会晓,杨宁.棒束通道内气液两相流动摩擦阻力实验研究[C]∥中国工程热物理学会多相流学术会议论文集.南京:东南大学,2015.
[17]李洪伟,周云龙,杨悦,等.氮气-水两相流流型平滑Wigner三谱切片时频特征[J].化工学报,2013,64(10):3 571-3 580.LI Hongwei,ZHOU Yunlong,YANG Yue,et al.Time-frequencycharacteristics of smoothed Wigner tri-spectrum slices of nitrogen-water two-phase flow patterns[J].CIESC Journal,2013,64(10):3571-3 580(in Chinese).