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《Chinese Journal of Nuclear Science and Engineering》 2009-04
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A method for identifying gas-liquid two-phase flow patterns on the basis of wavelet packet multi-scale information entropy and HMM

ZHOU Yun-long1,ZHANG Xue-qing2,GAO Yun-peng2,CHENG Yue3(1.School of Energy and Mechanical Engineering,Northeast Dianli University,Jilin of JilinProv.132012,China;2.School of Automation Engineering,Northeast Dianli University,Jilin of JilinProv.132012,China;3.Longkougang Group Co.,Ltd.,Yantai of Shandong Prov.265700,China)  
For studying flow regimes of gas/liquid two-phase in a vertical upward pipe,the conductance fluctuation information of four typical flow regimes was collected by a measuring the system with self-made multiple conductivity probes.Owing to the non-stationarity of conductance fluctuation signals of gas-liquid two-phase flow,a kind of flow regime identification method based on wavelet packet Multi-scale Information Entropy and Hidden Markov Model(HMM) was put forward.First of all,the collected conductance fluctuation signals were decomposed into eight different frequency bands signals.Secondly,the wavelet packet multi-scale information entropy of different frequency bands signals were regarded as the input characteristic vectors of all states HMM which had been trained.In the end the regime identification of the gas-liquid two-phase flow could be performed.The study showed that the method that HMM was applied to identify the flow regime was superior to the one that BP neural network was used,and the results proved that the method was efficient and feasible.
【CateGory Index】: O359.1
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【Citations】
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