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《中国化学工程学报(英文版)》 2010-05
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Noninvasive Flow Regime Identification for Wet Gas Flow Based on Flow-induced Vibration

HUA Chenquan 1,2, WANG Changming 2 , GENG Yanfeng 1 and SHI Tianming 1 1 College of Information & Control Engineering, China University of Petroleum, Dongying 257061, China 2 College of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China  
A novel noninvasive approach, based on flow-induced vibration, to the online flow regime identification for wet gas flow in a horizontal pipeline is proposed. Research into the flow-induced vibration response for the wet gas flow was conducted under the conditions of pipe diameter 50 mm, pressure from 0.25 MPa to 0.35 MPa, Lockhart-Martinelli parameter from 0.02 to 0.6, and gas Froude Number from 0.5 to 2.7. The flow-induced vibration signals were measured by a transducer installed on outside wall of pipe, and then the normalized energy features from different frequency bands in the vibration signals were extracted through 4-scale wavelet package transform. A "binary tree" multi-class support vector machine(MCSVM) classifier, with the normalized feature vector as inputs, and Gaussian radial basis function as kernel function, was developed to identify the three typical flow regimes including stratified wavy flow, annular mist flow, and slug flow for wet gas flow. The results show that the method can identify effectively flow regimes and its identification accuracy is about 93.3%. Comparing with the other classifiers, the MCSVM classifier has higher accuracy, especially under the case of small samples. The noninvasive measurement approach has great application prospect in online flow regime identification.
【Fund】: Supported by the National Natural Science Foundation of China (60672003)
【CateGory Index】: TQ021.1
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【Citations】
Chinese Journal Full-text Database 2 Hits
1 ZHOU Yunlong,CHEN Fei 2and SUN Bin 1 1School of Energy and Mechanical Engineering,Northeast Dianli University,Jilin 132012,China 2School of Automatic Engineering,Northeast Dianli University,Jilin 132012,China;Identification Method of Gas-Liquid Two-phase Flow Regime Based on Image Multi-feature Fusion and Support Vector Machine[J];Chinese Journal of Chemical Engineering;2008-06
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【Co-citations】
Chinese Journal Full-text Database 7 Hits
1 SUN Bin,WANG Erpeng,DING Yang,BAI Hongzhen and HUANG Yongmei 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[J];Chinese Journal of Chemical Engineering;2011-02
2 SUN Bin LI Chao WANG Hong (School of Energy and Power Engineering,Northeast Dianli University,Jilin 132012,China);APPLICATION OF ROUGH SETS IN IDENTIFICATION OF GAS-LIQUID TWO-PHASE FLOW REGIME[J];工程热物理学报;2010-11
3 HUA Chenquan 1,2, WANG Changming 2 , GENG Yanfeng 1 and SHI Tianming 1 1 College of Information & Control Engineering, China University of Petroleum, Dongying 257061, China 2 College of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China;Noninvasive Flow Regime Identification for Wet Gas Flow Based on Flow-induced Vibration[J];Chinese Journal of Chemical Engineering;2010-05
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