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
Link To Document