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《Transducer and Microsystem Technologies》 2009-11
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Two-phase flow pattern identification based on neural networks and D-S evidence theory

WU Xin-jie1,LIU Shi2,XU Chao1(1.School of Physics,Liaoning University,Shenyang 110036,China;2.School of Energy & Power Engineering,North China Electric Power University,Beijing 102206,China)  
A new method of two-phase flow pattern identification based on electrical capacitance tomography(ECT)system,neural networks and D-S evidence theory is proposed.The identification system is built for identifying a few familiar flow patterns of two-phase flow,by using neural networks and D-S evidence theory.The simulation experimental results show that the method can accurately identification flow patterns of two-phase flow.An effective means is presented for flow patterns identification.
【CateGory Index】: O359
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