Acceso abierto

Gas–liquid Flow Pattern Recognition Based on Wavelet Packet Energy Entropy of Vortex-induced Pressure Fluctuation


Cite

[1] Rouhani, S.Z., Sohal, M.S. (1983). Two-phase flow patterns: A review of research results. Progress inNuclear Energy, 11 (3), 219-259.10.1016/0149-1970(83)90012-4Search in Google Scholar

[2] Cheng, L., Ribatski, G., Thome, J.R. (2008). Twophase flow patterns and flow-pattern maps: Fundamentals and applications. Applied MechanicsReviews, 61 (1), 050802.Search in Google Scholar

[3] Sun, Z. (2010). Mass flow measurement of gas-liquid bubble flow with the combined use of a Venturi tube and a vortex flowmeter. Measurement Science andTechnology, 21 (5), 055403.10.1088/0957-0233/21/5/055403Search in Google Scholar

[4] Sun, Z., Zhang, H. (2010). Measurement of the flow rate and volume void fraction of gas-liquid bubble flow using a vortex flow meter. Chemical EngineeringCommunications, 197 (2), 145-57.Search in Google Scholar

[5] Deng, X., Yang, W.Q. (2012). Fusion research of electrical tomography with other sensors for two-phase flow measurement. Measurement Science Review, 12 (2), 62-67.10.2478/v10048-012-0008-7Search in Google Scholar

[6] Drahos, J., Cermak, J., Selucky, K., Ebner, L. (1987) Characterization of hydrodynamics regimes in horizontal two-phase flow part II: Analysis of wall pressure fluctuations. Chemical Engineering andProcessing, 22 (1), 45-52.10.1016/0255-2701(87)80027-2Search in Google Scholar

[7] Lin, S., Kew, P.A. (2001). Pressure fluctuation and flow regimes of air-water flow in a small tube. Experimental Heat Transfer, 14 (2), 135-144.10.1080/089161501750154601Search in Google Scholar

[8] Xie, T., Ghiaasiaan, S.M., Karrilab, S. (2004). Artificial neural network approach for flow regime classification in gas-liquid-fiber flows based on frequency domain analysis of pressure signals. Chemical Engineering Science, 59 (11), 2241-2251.10.1016/j.ces.2004.02.017Search in Google Scholar

[9] Ding, H., Huang, Z.Y., Song, Z.H., Yan, Y. (2007). Hilbert-Huang transform based signal analysis for the characterization of gas-liquid two-phase flow. FlowMeasurement and Instrumentation, 18 (1), 37-46.10.1016/j.flowmeasinst.2006.12.004Search in Google Scholar

[10] Williamson, C.H.K. (1996). Vortex dynamics in the cylinder wake. Annual Review of Fluid Mechanics, 28 (1), 477-539.10.1146/annurev.fl.28.010196.002401Search in Google Scholar

[11] Sun, Z., Zhang, H. (2008). Neural networks approach for prediction of gas-liquid two-phase flow pattern based on frequency domain analysis of vortex flowmeter signals. Measurement Science andTechnology, 19 (1), 015401.10.1088/0957-0233/19/1/015401Search in Google Scholar

[12] Sun, Z., Zhang, H. (2009). Application of empirical mode decomposition based energy ratio to vortex flowmeter state diagnosis. Journal of Central SouthUniversity of Technology, 16 (1), 154-159.10.1007/s11771-009-0026-2Search in Google Scholar

[13] Hulin, J.P., Fierfort, C., Condol, R. (1982). Experimental study of vortex emission behind bluff obstacles in a gas liquid vertical two phase flow. International Journal of Multiphase Flow, 8 (5), 475-490.10.1016/0301-9322(82)90019-2Search in Google Scholar

[14] Inoue, A., Kozawa, Y., Yokosawa, M., Aoki, S. (1986). Studies on two phase cross flow part I: Characteristics around a cylinder. InternationalJournal of Multiphase Flow, 12 (2), 149-167.10.1016/0301-9322(86)90023-6Search in Google Scholar

[15] Shakouchi, T., Tian, D., Ida, T. (2002). Behavior of vertical upward gas−liquid two-phase flow past obstacle in rectangular channel. JSME InternationalJournal B, 45 (3), 686-693.10.1299/jsmeb.45.686Search in Google Scholar

[16] Sun, Z., Gong, H. (2012). Classification of gas-liquid flow patterns by the norm entropy of wavelet decomposed pressure fluctuations across a bluff body. Measurement Science and Technology, 23 (12), 125301.10.1088/0957-0233/23/12/125301Search in Google Scholar

[17] Tan, C., Dong, F., Wu, M.M. (2007). Identification of gas/liquid two-phase flow regime through ERT-based measurement and feature extraction. FlowMeasurement and Instrumentation, 18 (5-6), 255-261.10.1016/j.flowmeasinst.2007.08.003Search in Google Scholar

[18] Uyar, M., Yildirim, S., Gencoglu, M.T. (2008). An effective wavelet-based feature extraction method for classification of power quality disturbance signals. Electric Power Systems Research, 78 (10), 1747-1755.10.1016/j.epsr.2008.03.002Search in Google Scholar

[19] Hu, G., Zhu, F., Ren, Z. (2008). Power quality disturbance identification using wavelet packet energy entropy and weighted support vector machines. ExpertSystems with Applications, 35 (1-2), 143-149.10.1016/j.eswa.2007.06.005Search in Google Scholar

[20] Yang, Y., Yu, D., Cheng, J. (2006). A roller bearing fault diagnosis method based on EMD energy entropy and ANN. Journal of Sound and Vibration, 294 (1-2), 269-277.Search in Google Scholar

[21] Zhang, H., Huang, Y., Sun, Z. (2006). A study of mass flow rate measurement based on the vortex shedding principle. Flow Measurement and Instrumentation, 17 (1), 29-38.10.1016/j.flowmeasinst.2005.08.002Search in Google Scholar

[22] Sun, Z., Zhang, H., Zhou, J. (2007). Investigation of the pressure probe properties as the sensor in the vortex flowmeter. Sensors and Actuators A, 136 (2), 646-655.10.1016/j.sna.2006.12.001Search in Google Scholar

[23] Sun, Z., Zhang, H., Zhou, J. (2008). Evaluation of uncertainty in a vortex flowmeter measurement. Measurement, 41 (4), 349-356.10.1016/j.measurement.2007.03.001Search in Google Scholar

[24] Sun, Z. (2011). Design and performance of the converging-diverging vortex flowmeter. Metrologyand Measurement Systems, 18 (1), 129-136.10.2478/v10178-011-0012-5Search in Google Scholar

[25] Shaikh, A., Al-Dahhan, M.H. (2007). A review on flow regime transition in bubble columns. International Journal of Chemical ReactorEngineering, 5 (1), 1-68.10.2202/1542-6580.1368Search in Google Scholar

eISSN:
1335-8871
Idioma:
Inglés
Calendario de la edición:
6 veces al año
Temas de la revista:
Engineering, Electrical Engineering, Control Engineering, Metrology and Testing