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基于独立成分分析的水平管气液两相流分相信息提取 被引量:8

Phase information extraction of gas/liquid two-phase flow in horizontal pipe based on independent component analysis
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摘要 基于独立成分分析(ICA)方法分析水平管气液两相流的电阻成像(ERT)所获取数据,提取水平管气液两相流流动特征,获取分相信息。通过分析比较ICA所得的独立分量以及ERT侧视、俯视成像时间序列和摄像仪记录的流动状态图像,并经过实验表明,对水平管气液两相流中的弹状流、分层流、波状流,电阻层析成像方法结合ICA方法可有效地获取水平管气液两相流流动特征参数,提取的独立分量反映了物理上相互独立的分相的变化情况,具有明确的物理意义;对水平管气液两相流中的塞状/泡状流,ICA方法结合多尺度分析方法可获得更为有效的信息。 An independent component analysis (ICA) method was applied to extract the flow characteristics and separate the gas/liquid phase information from the data of a gas/liquid flow in horizontal pipe obtained by electrical resistance tomography (ERT) . The efficiency of ICA with the ERT data was assessed by experiments. The obtained independent components were interpreted by comparing with the reconstructed images by ERT and the records from camera. For slug flow, stratified flow and wavy flow, the method combining ERT and ICA is effective in extracting the flow characteristics of two-phase flow, and the extracted independent components have explicit physical meaning corresponded to the gas phase and the liquid phase separately. For a plug flow, useful signals from high frequency components are submerged, in which case multi-resolution analysis may need to be combined to obtain more useful information.
出处 《化工学报》 EI CAS CSCD 北大核心 2009年第12期3012-3018,共7页 CIESC Journal
基金 国家自然科学基金国际合作交流项目(60820106002) 国家自然科学重点基金项目(60532020)~~
关键词 气液两相流 电阻层析成像 独立成分分析 gas/liquid two-phase flow electrical resistance tomography independent component analysis
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参考文献16

  • 1Hewitt G F. Measurement of Two-phase Flow Parameters. London: Academic Press, 1978.
  • 2Guo Liejin(郭烈锦).Two-phase and Multiphase Flow Mechanics(两相与多相流动力学).Xi'an: Xi'an Jiaotong University Press, 2002.
  • 3Li Haiqing(李海青),Huang Zhiyao(黄志尧).Special Measurement Technique and Its Applications(特种检测技术及应用).Hangzhou:Zhejiang University Press,2000
  • 4王栋,林宗虎.气液两相流体流量的分流分相测量法[J].西安交通大学学报,2001,35(5):441-444. 被引量:31
  • 5Beck M S, Williams R A. Process tomography: a European innovation and its applications. Measurement Science and Technology, 1996, 7 (3): 215-224.
  • 6Ma Yixin, Zheng Zhichu, Xu Ling'an, Liu Xiaoping, Wu Yingxiang. Application of electrical resistance tomography system to monitor gas/liquid two-phase flow in a horizontal pipe. Flow Measurement and Instrumentation, 2001, 12 (4) : 259-265.
  • 7Comon P. Independent component analysis--a new concept. Signal Processing, 1994, 36:287-314.
  • 8Lee T W. Independent Component Analysis: Theory and Applications. Netherlands : Kluwer Academic Publishers, 1998.
  • 9何宁,谢磊,郭明,王树青.基于独立成分的动态多变量过程的故障检测与诊断方法[J].化工学报,2005,56(4):646-652. 被引量:8
  • 10陈国金,梁军,钱积新.独立元分析方法(ICA)及其在化工过程监控和故障诊断中的应用[J].化工学报,2003,54(10):1474-1477. 被引量:30

二级参考文献28

  • 1袁小芳,王耀南.基于混沌优化算法的支持向量机参数选取方法[J].控制与决策,2006,21(1):111-113. 被引量:55
  • 2李信,李少远,黄彩凤.最小二乘支持向量机在汽油调合建模中的应用研究[J].化工自动化及仪表,2006,33(3):14-16. 被引量:6
  • 3刘瑞兰,骆中华,苏宏业.基于最小二乘支持向量机的复合肥装置养分含量的软测量建模[J].化工自动化及仪表,2006,33(5):51-54. 被引量:6
  • 4梁军,钱积新. Multivariate Statistical Process Monitoring and Control: Recent Developments and Applications to Chemical Industry. Chinese J of Chemical Eng, 2003, 11 (2): 191--203.
  • 5Johnson R A, Wichern D W. Applied Multivariate Statistical Analysis. 4th ed. Englewood Cliff, NJ: Prentice Hall, 1998.
  • 6Ypma A, Tax D, Duin R. Robust Machine Fault Detection with Independent Component Analysis and Support Vector Data Description. In: Proc of the 1999 IEEE Signal Processing Society Workshop, 1999.67 - 76.
  • 7Hyvarinen A, Oia E. Independent Component Analysis:Algorithms and Applications. Neural Networks, 2002, 13:411-430.
  • 8Tax D, Duin R. Support Vector Domain Description. Pattern Recognition Letters , 1999, 20:1191 -- 1199.
  • 9Luyben W. Process Modeling, Simulation, and Control for Chemical Engineers. 2nd ed. New York: McGraw-Hill, 1988.
  • 10YAN YONG. Mass flow measurement of bulk solids in pneumatic pipelines [J]. Meas. Sci. Technol., 1996,7:1687-1706.

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