基于支持向量机的石脑油干点软测量建模研究

Dry Point Soft Sensing Application to Naphtha Based on SVM Regression

原油精馏装置处于石油化工厂工艺流程的最前端,石脑油是精馏装置的主要产品之一,干点值是衡量石脑油质量的一个重要参数指标,通过现有测量手段不能得到干点的实时测量值。而支持向量机是近年发展起来的一种基于统计学习理论的学习机器,在模式识别和非线性函数回归估计方面有很多的应用。文中旨在通过采用软测量技术得出石脑油干点的实时监测信息,着重讨论基于支持向量机回归和最小二乘支持向量机回归的软测量建模方法。

Crude oil distillation plant is at the beginning of the process in an oil refinery. Naphtha is one of the main products of distillation process; dry point is an index reflecting its quality,and It cannot be measured by conventional instruments. The purpose of this paper is to estimate the dry point value by applying soft sensor. SVM is a newly developed method based on statistical learning theory,and is used in pattern recognition and non-linear function regression. This paper emphasis on the modeling metho...