Chinese Journal of Chemical Engineering
   
 
  2011, Vol. 19 Issue (2): 243-252    DOI:
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Time-Frequency Signal Processing for Gas-Liquid Two Phase Flow Through a Horizontal Venturi Based on Adaptive Optimal-Kernel Theory
孙斌, 王二朋, 丁洋, 白宏震, 黄咏梅
College of Metrological Technology and Engineering, China Jiliang University, Hangzhou 310018, China
Time-Frequency Signal Processing for Gas-Liquid Two Phase Flow Through a Horizontal Venturi Based on Adaptive Optimal-Kernel Theory
SUN Bin, WANG Erpeng, DING Yang, BAI Hongzhen, HUANG Yongmei
College of Metrological Technology and Engineering, China Jiliang University, Hangzhou 310018, China
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摘要 A time-frequency signal processing method for two-phase flow through a horizontal Venturi based on adaptive optimal-kernel (AOK) was presented in this paper.First,the collected dynamic differential pressure signal of gas-liquid two-phase flow was preprocessed,and then the AOK theory was used to analyze the dynamic differential pressure signal.The mechanism of two-phase flow was discussed through the time-frequency spectrum.On the condition of steady water flow rate,with the increasing of gas flow rate,the flow pattern changes from bubbly flow to slug flow,then to plug flow,meanwhile,the energy distribution of signal fluctuations show significant change that energy transfer from 15-35 Hz band to 0-8 Hz band;moreover,when the flow pattern is slug flow,there are two wave peaks showed in the time-frequency spectrum.Finally,a number of characteristic variables were defined by using the time-frequency spectrum and the ridge of AOK.When the characteristic variables were visually analyzed,the relationship between different combination of characteristic variables and flow patterns would be gotten.The results show that,this method can explain the law of flow in different flow patterns.And characteristic variables,defined by this method,can get a clear description of the flow information.This method provides a new way for the flow pattern identification,and the percentage of correct prediction is up to 91.11%.
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孙斌
王二朋
丁洋
白宏震
黄咏梅
关键词adaptive optimal-kernel   two-phase flow   time-frequency spectrum   time-frequency ridge   flow pattern identification     
Abstract: A time-frequency signal processing method for two-phase flow through a horizontal Venturi based on adaptive optimal-kernel (AOK) was presented in this paper.First,the collected dynamic differential pressure signal of gas-liquid two-phase flow was preprocessed,and then the AOK theory was used to analyze the dynamic differential pressure signal.The mechanism of two-phase flow was discussed through the time-frequency spectrum.On the condition of steady water flow rate,with the increasing of gas flow rate,the flow pattern changes from bubbly flow to slug flow,then to plug flow,meanwhile,the energy distribution of signal fluctuations show significant change that energy transfer from 15-35 Hz band to 0-8 Hz band;moreover,when the flow pattern is slug flow,there are two wave peaks showed in the time-frequency spectrum.Finally,a number of characteristic variables were defined by using the time-frequency spectrum and the ridge of AOK.When the characteristic variables were visually analyzed,the relationship between different combination of characteristic variables and flow patterns would be gotten.The results show that,this method can explain the law of flow in different flow patterns.And characteristic variables,defined by this method,can get a clear description of the flow information.This method provides a new way for the flow pattern identification,and the percentage of correct prediction is up to 91.11%.
Key wordsadaptive optimal-kernel   two-phase flow   time-frequency spectrum   time-frequency ridge   flow pattern identification   
收稿日期: 2010-07-04; 出版日期: 2011-04-28
基金资助:Supported by the Natural Science Foundation of Zhejiang Province(Y1100842);the Planning Projects of General Administration of Quality Supervision,Inspection and Quarantine of the People's Republic of China(2006QK23)
通讯作者: SUN Bin,E-mail:bsun555@cjlu.edu.cn     E-mail: bsun555@cjlu.edu.cn
引用本文:   
孙斌,王二朋,丁洋等. Time-Frequency Signal Processing for Gas-Liquid Two Phase Flow Through a Horizontal Venturi Based on Adaptive Optimal-Kernel Theory[J]. , 2011, 19(2): 243-252.
SUN Bin,WANG Erpeng,DING Yang et al. Time-Frequency Signal Processing for Gas-Liquid Two Phase Flow Through a Horizontal Venturi Based on Adaptive Optimal-Kernel Theory[J]. Chin.J.Chem.Eng., 2011, 19(2): 243-252.
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