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
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;
Conference_Titel :
Instrumentation and Control Technology (ISICT), 2012 8th IEEE International Symposium on
Conference_Location :
London
Print_ISBN :
978-1-4673-2615-5
DOI :
10.1109/ISICT.2012.6291620