Multi-parameter differential pressure flowmeter nonlinear calibration based on SVM

Abstract

In this paper, a novel modeling method of difference pressure mass flow measurement nonlinear correction based on Support Vector Machine is introduced. Support Vector Machine is a novel machine learning method, which identify the correction model definitely just according to the samples. Flow measurement nonlinear correction is a small sample problem. The result of the simulation for orifice flowmeter error correction based on SVM shows that this method can get a better effect. © 2008 Springer-Verlag Berlin Heidelberg.