• DocumentCode
    3201429
  • Title

    The analysis of multivariate nonlinear regression on section pressure of the pipeline outlet

  • Author

    Xiaodong Zhao ; Qiaoxu Chong ; Zheng Qian ; Niya Chen

  • Author_Institution
    Sch. of Instrum. Sci. & Opto-Electron. Eng., Beihang Univ., Beijing, China
  • fYear
    2012
  • fDate
    11-13 July 2012
  • Firstpage
    132
  • Lastpage
    136
  • Abstract
    In order to validate the feasibility of the pressure test method, this paper analyzed the relation that section pressure of pipeline outlet with pipeline length, diameter and flow velocity. Got 60 groups simulation data based on FLUENT software and established the prediction model about the section pressure of pipeline outlet based on the employing multivariate regression algorithms. The 5 groups data are predicted by using multiple quadratic prediction model and the results showed that the max relative error between prediction data and the reference data is less than 5%. It established a theoretical basis for the later analysis of pressure test method.
  • Keywords
    flow simulation; flowmeters; mechanical engineering computing; pipelines; regression analysis; FLUENT software; diameter; electromagnetic flowmeter online calibration method; flow velocity; multiple quadratic prediction model; multivariate nonlinear regression alforithm; pipeline length; pipeline outlet; prediction model; pressure test method; section pressure measurement; Atmospheric measurements; Electromagnetics; Gauss-Newton algorithm; nonlinear regression; section pressure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Control Technology (ISICT), 2012 8th IEEE International Symposium on
  • Conference_Location
    London
  • Print_ISBN
    978-1-4673-2615-5
  • Type

    conf

  • DOI
    10.1109/ISICT.2012.6291620
  • Filename
    6291620