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《Water Conservancy & Electric Power Machinery》 2006-10
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Identification method of gas-liquid two-phase flow pattern based on wavelet energy feature

WANG Qiang,ZHOU Yun-long,ZHU Guo-qiang,ZHOU Ying-hong (Northeast Electric Power University,Jilin 132012,Jilin China)  
The traditional identification methods of flow regimes were only looked as a kind of defined methods of flow regimes.In this article,a new flow pattern identification method of two-phase flow was proposed.Firstly the method analyzes the dynamic pressure-difference fluctuation signals of a flow regime by utilizing wavelet analysis and extracts the characteristics,then wavelet energy is input into betterment B Pneural network and flow regime intelligent identification can be performed.The method was demonstrated by experimental data.
【CateGory Index】: O359
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