@inproceedings{df76290af3e448a2b8da6c0a44c0e20d,
title = "The analysis of multivariate nonlinear regression on section pressure of the pipeline outlet",
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 = "Gauss-Newton algorithm, nonlinear regression, section pressure",
author = "Xiaodong Zhao and Qiaoxu Chong and Zheng Qian and Niya Chen",
year = "2012",
doi = "10.1109/ISICT.2012.6291620",
language = "英语",
isbn = "9781467326162",
series = "2012 the 8th IEEE International Symposium on Instrumentation and Control Technology, ISICT 2012 - Proceedings",
pages = "132--136",
booktitle = "2012 the 8th IEEE International Symposium on Instrumentation and Control Technology, ISICT 2012 - Proceedings",
note = "8th IEEE International Symposium on Instrumentation and Control Technology, ISICT 2012 ; Conference date: 11-07-2012 Through 13-07-2012",
}