• Optics and Precision Engineering
  • Vol. 19, Issue 7, 1588 (2011)
ZHANG Dong-zhi1,2,* and HU Guo-qing2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: 10.3788/ope.20111907.1588 Cite this Article
    ZHANG Dong-zhi, HU Guo-qing. Measurement of oil-water flow based on inverse model of wavelet neural network with genetic optimization[J]. Optics and Precision Engineering, 2011, 19(7): 1588 Copy Citation Text show less
    References

    [1] HEWITT G F. Measurement for Two-Phase Flow Parameters [M]. London: Academic Press, 1978.

    [2] ZHANG D ZH, XIA B K, SONG Y Q. Numerical simulation and experimental research of multi-factor influence on the measurement of water content in crude oil [J].Computers and Applied Chemistry, 2008, 25(8): 947-950. (in Chinese)

    [3] ZHANG Y, LIU J H, ZHANG Y H, et al.. Cross sensitivity reduction of gas sensors using genetic algorithm neural network[J]. Optical Engineering, 2002, 41(3): 615-625.

    [4] JIN J, ZHANG ZH G, WANG ZH, et al.. Temperature error compensation for digital closed-loop fiber optic gyroscope based on RBF neural network[J].Opt. Precision Eng., 2008, 16(2): 235-240. (in Chinese)

    [5] HONG X, XU ZH J, YANG N. Error compensation of optical encoder based on RBF network [J]. Opt. Precision Eng., 2008, 16(4): 598-604. (in Chinese)

    [6] GAO G B, WANG W, LIN K, et al.. Error compensation and parameter identification of circular grating angle sensors [J]. Opt. Precision Eng., 2010, 18(8): 1766-1772. (in Chinese)

    [7] TANG X J, LIU J H. Research on dynamic characteristics for multi-sensor system with cross sensitivity [J]. Science in China (Series E) , 2005, 35(1): 85-105. (in Chinese)

    [8] TUNCER E, SERDYUK Y V, GUBANSKI S M. Dielectric mixtures: electrical properties and modeling [J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2002, 9(5): 809-828.

    [9] MOHAMED A M O, ELAMAL M, ZEKRI A Y. Effect of salinity and temperature on water cut determination in oil reservoirs [J]. Journal of Petroleum Science and Engineering, 2003, 40(3-4): 177-188.

    [10] AL-OTAIBI M B, ELKAMEL A, NASSEHI V, et al.. A computational intelligence based approach for the analysis and optimization of a crude oil desalting and dehydration process[J]. Energy & Fuels, 2005, 19(6): 2526-2534.

    [11] REN L, WANG T J, CHEN X G. Analysis of oil-water mixture using time domain dielectric spectroscopy based on wavelet transform [J]. Acta Armamentarii, 2008, 29(1): 47-51. (in Chinese)

    [12] DAI X ZH, YIN M, WANG Q. A novel dynamic compensating method based on ANN inverse system[J]. Chinese Journal of Scientific Instrument, 2004, 25(5): 593-596. (in Chinese)

    [13] YU L L, LIU Y H, CAI B P, et al.. Prediction for electrical discharge machining process with synchronous servo double electrodes based on wavelet neural network [J]. Journal of China University of Petroleum (Natural Science Edition), 2008, 32(4): 87-90. (in Chinese)

    [14] U A L, HUANG W Y. Research on the dynamic model of operating environment in force telepresence system[J]. Chinese Journal of Scientific Instrument, 2006, 27(1): 14-18. (in Chinese)

    [15] GAO M J, ZHAO Y, TAN A L. Study on genetic wavelet neural network based multi-sensor information fusion technique[J]. Chinese Journal of Scientific Instrument, 2007, 28(11): 2103-2104. (in Chinese)

    ZHANG Dong-zhi, HU Guo-qing. Measurement of oil-water flow based on inverse model of wavelet neural network with genetic optimization[J]. Optics and Precision Engineering, 2011, 19(7): 1588
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