摘要
当前,软测量建模受到了越来越多的重视,软仪表能够通过易测变量来估计出难测变量。本文应用PLS方法建立了催化重整装置氧含量的软测量模型,结果表明该模型具有很高的精度。
More and more research has been conducted in the field of soft-sensing modeling. Soft sensors estimate hard-to-measure process variables from other easy-to-measure variables. In this paper, the PLS method has been used to build a soft-sensing model for oxygen concentration in a catalytic reformer. The results show that the models are highly accurate.
出处
《系统仿真学报》
CAS
CSCD
2003年第11期1622-1624,1627,共4页
Journal of System Simulation
关键词
部分最小二乘
软仪表
软测量模型
氧含量
Partial Least Square (PLS)
soft sensor
soft-sensing model
oxygen concentration
