Gas-water two-phase flow regime recognition with data and feature fusion from a dual-plane ert system

5th International Conference on Natural Computation, ICNC 2009

Volumn 2, Issue , 2009, Pages 218-222

  Tan, Chao ^a   Dong, Feng ^a  

^a TIANJIN UNIVERSITY   (China)

Author keywords

Data fusion; Electrical resistance tomography; Feature extraction; Feature fusion; Flow regime

Indexed keywords

DATA FUSION METHODS; DUAL-PLANE; ELECTRICAL RESISTANCE TOMOGRAPHY; ELECTRICAL RESISTANCE TOMOGRAPHY SYSTEMS; FEATURE FUSION; FLOW PARAMETERS; FLOW REGIME; FLOW REGIME RECOGNITION; FLOW REGIMES; GAS-WATER; HORIZONTAL PIPES; INDUSTRIAL PROCESSS; MEASUREMENT DATA; SCIENTIFIC RESEARCHES;

DATA FUSION; ELECTRIC RESISTANCE; FLOW OF WATER; INFORMATION FUSION; MICROSTRIP DEVICES; SUPPORT VECTOR MACHINES; TOMOGRAPHY; TWO PHASE FLOW;

FEATURE EXTRACTION;

EID: 77950624498     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNC.2009.293     Document Type: Conference Paper

References (11)

1. R. Thorn, G. A. Johansen, E. A. Hammer, "Three-Phase Flow Measurement in the Offshore Oil Industry Is There a Place for Process Tomography?," Proc. 1st World Congress on Industrial Process Tomography, 1999, pp. 167-172.
2. A. E. Bergles, J. G. Coolier, J. M. Delhaye, G. F. Hewitt and F. Mayinger, Two-Phase Flow and Heat Transfer in the Power and Process Industries, Hemisphere Publishing Corporation, 1981.
3. G. F. Hewitt and N. S. Hail-Taylor, Annular Two-Phase Flow, Pergamon Press, 1970, p. 310.
4. R. A. Williams and M. S. Beck, Process Tomography: Principles, Techniques and Applications, Oxford: Butterworth-Heinemann Ltd, 1995.
5. A. Plaskowski, M. S. Beck, R. T. P and T. Dyakowski, Imaging Industrial Flow, Bristol and Philadelphia: IOP Publishing Ltd, 1995.
6. F.DickinandM.Wang," ElectricalResistanceTomographyforProcessApplications," MeasurementScience&Technology,vol.7,1996.PP.247-260.(Pubitemid126574898)
7. F. Dong, Z. X. Jiang, X. T. Qiao and L. A. Xu, "Application of electrical resistance tomography to two-phase pipe flow parameters measurement," Flow Measurement And Instrumentation, vol.14, 2003, pp. 183-192.
8. C. Tan, F. Dong and M. Wu, "Identification of gas/liquid two-phase flow regime through ERT-based measurement and feature extraction," How Measurement and Instrumentation, vol.18, 2007, pp. 255-261.
9. T. B. Trafalis, O. Oladunni and D. V. Papavassiliou, "Two-Phase Flow Regime Identification with a MultiClassification Support Vector Machine (SVM) Model," Industrial & Engineering Chemistry Research, vol.44, 2005, pp. 4414-4426.
10. J. Yang, J. Y. Yang and J. Z. Gao, "Handwritten Character Recognition based on parallel feature combination and generalized K-L expansion," Journal of Software, vol.14, 2003, pp. 490-495.
11. Z.M. Li, R.Z. Chen, B.H. Zhang. "Study of adaptive weighted estimate algorithm of congeneric multi-sensor data fusion," Journal of Lanzhou University of Technology, vol.32, No.4, 2006, pp. 78-82