信息与控制2016，Vol.45Issue(6)：641-646,6.DOI:10.13976/j.cnki.xk.2016.0641
一种带过程变量时滞估计的在线软测量建模方法
An Online Soft-sensor Modeling Method Including Process Variable Time-delay Estimation
摘要
Abstract
We propose a novel method based on fuzzy curve analysis (FCA) in order to effectively introduce delay information into the soft-sensor model and track real-time process dynamics.The proposed method can estimate the process time delay parameter set,which is achieved offline and is then used to reconstruct the whole modeling sample set.When new input samples are available,a time difference Gaussian process regression (TDGPR) model is employed for current time online predictions based on historical variable values collected at certain moments.The proposed method is applied to a real debutanizer column process,and its effectiveness and accuracy are verified by the simulation results.关键词
变量时滞/模糊曲线分析/时间差模型/高斯过程回归/在线建模Key words
variable time delay/fuzzy curve analysis (FCA)/time difference model/Gaussian process regression/online modeling分类
信息技术与安全科学引用本文复制引用
李妍君,熊伟丽,徐保国..一种带过程变量时滞估计的在线软测量建模方法[J].信息与控制,2016,45(6):641-646,6.基金项目
国家自然科学基金资助项目(21206053,21276111) （21206053,21276111）
江苏省“六大人才高峰”计划资助资助(2013-DZXX-043) （2013-DZXX-043）
中央高校基本科研业务费专项资金资助项目(JUSRP1509XNC) （JUSRP1509XNC）
