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《Journal of Northeast Dianli University》 2011-01
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IMF Feature Extraction of Oil-water Two-phase Flow Conductive Signal and Flow Pattern Identification

ZHANG Song-lin~1,ZHOU Yun-long~2 (1.School of Automation Engineering,Northeast Dianli University,Jilin Jilin 132012;2.Energy and Power Engineering College, Northeast Dianli University,Jilin Jilin 132012)  
Oil-water flow patterns have a great impact on pressure and other parameters when being exploited, accurate identification of flow patterns can improve transmission efficiency and reducing production cost.Using the intelligent Signal Acquisition and Processing System type of INV306 and conductivity probe measurement system,the conductance fluctuation signals of three typical oil-water two-phase flow patterns in vertical upward pipe are collected.IMF characteristic parameters of conductance signals were extracted by applying of Empirical Mode Decomposition(EMD),then energy characteristics of all modes were extracted,and they are trained as Elman neural network input in order to establish the network.With test samples,and the results show that: the method can accurately identify the three typical flow patterns with better recognition effect.
【CateGory Index】: O359
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【Citations】
Chinese Journal Full-text Database 6 Hits
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