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K-均值聚类在CCERT系统流型辨识中的应用

李凯锋 王保良 黄志尧 冀海峰 李海青

李凯锋, 王保良, 黄志尧, 等 . K-均值聚类在CCERT系统流型辨识中的应用[J]. 北京航空航天大学学报, 2017, 43(11): 2280-2285. doi: 10.13700/j.bh.1001-5965.2017.0070
引用本文: 李凯锋, 王保良, 黄志尧, 等 . K-均值聚类在CCERT系统流型辨识中的应用[J]. 北京航空航天大学学报, 2017, 43(11): 2280-2285. doi: 10.13700/j.bh.1001-5965.2017.0070
LI Kaifeng, WANG Baoliang, HUANG Zhiyao, et al. Application of K-means clustering in flow pattern identification of CCERT system[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(11): 2280-2285. doi: 10.13700/j.bh.1001-5965.2017.0070(in Chinese)
Citation: LI Kaifeng, WANG Baoliang, HUANG Zhiyao, et al. Application of K-means clustering in flow pattern identification of CCERT system[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(11): 2280-2285. doi: 10.13700/j.bh.1001-5965.2017.0070(in Chinese)

K-均值聚类在CCERT系统流型辨识中的应用

doi: 10.13700/j.bh.1001-5965.2017.0070
基金项目: 

国家自然科学基金 61371161

详细信息
    作者简介:

    李凯锋  男, 硕士研究生。主要研究方向:检测技术与自动化装置

    王保良  男, 博士, 教授, 博士生导师。主要研究方向:过程参数检测、嵌入式系统

    通讯作者:

    王保良, E-mail:wangbl@zju.edu.cn

  • 中图分类号: TP212

Application of K-means clustering in flow pattern identification of CCERT system

Funds: 

National Natural Science Foundation of China 61371161

More Information
  • 摘要:

    流型是气水两相流的重要参数之一,对气水两相流的流动影响很大。基于电容耦合电阻层析成像(CCERT)系统,以水平管道气水两相流流型为研究对象,利用主成分分析(PCA)方法提取不同流型下采集到的电导率信息的主成分,消除不同电极对之间信号的冗余,进而结合K-均值聚类算法实现流型辨识。实验结果表明,该方法具有较高准确度,对于水平管道泡状流、层状流和环状流3种典型的气水两相流流型的静态辨识准确率可以分别达到97%、96%和99%,动态辨识准确率可以分别达到92%、90%和87%。

     

  • 图 1  CCERT系统结构图

    Figure 1.  Structure diagram of CCERT system

    图 2  CCERT传感器结构示意图

    Figure 2.  Structure diagram of CCERT sensor

    图 3  CCERT传感器等效电路图

    Figure 3.  Equivalent circuit diagram of CCERT sensor

    图 4  静态实验中不同流型下的电阻测量值

    Figure 4.  Resistance measurement results under different flow patterns in static experiments

    图 5  气水两相流动态实验装置实物图

    Figure 5.  Picture of gas-water two-phase flow's dynamic experimental device

    图 6  流型照片和管截面流型示意图

    Figure 6.  Photographs of different flow patterns and sketch map of different flow patterns at pipe section

    图 7  动态实验中不同流型下的电阻测量值

    Figure 7.  Resistance measurement results under different flow patterns in dynamic experiments

    表  1  K-均值聚类静态流型辨识结果

    Table  1.   Static flow pattern identification results of K-means clustering

    流型测试组数正确组数准确率/%
    泡状流1009797
    层状流1009696
    环状流1009999
    下载: 导出CSV

    表  2  K-均值聚类动态流型辨识结果

    Table  2.   Dynamic flow pattern identification results of K-means clustering

    流型测试组数正确组数准确率/%
    泡状流1009292
    层状流1009090
    环状流1008787
    下载: 导出CSV
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出版历程
  • 收稿日期:  2017-02-15
  • 录用日期:  2017-04-24
  • 刊出日期:  2017-11-20

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