关键词:

原油精馏, 干点, 自适应链接超平面, 数据驱动建模

Abstract:

The estimation of kerosene dry point is important for quality control in process industry.Since the crude oil changes with varying compositions, there does not exist any effective model to cover different inherent characteristics.In this paper,adaptive hinging hyperplane (AHH), a novel piecewise linear method is introduced to build soft sensor model.A dry point estimation simulating experiment shows the good result.And the test on practical data reveals that AHH method has a better performance than the existing models based on classification information.It is expected that the method can be extended to other chemical process estimation with varying situations.

Key words:

原油精馏, 干点, 自适应链接超平面, 数据驱动建模