化工学报2018，Vol.69Issue(3)：931-935,5.DOI:10.11949/j.issn.0438-1157.20171453
石油馏分基础数据模型建模方法
Modeling basic fraction data of petroleum distillation
摘要
Abstract
Properties of petroleum fractions are important data of petrochemical processes. However, tremendous on-site data containing redundant information and measurement errors pose a great challenge to routine operation of chemical processes. A basic fraction data modelling method was proposed from characterization techniques of state space of petroleum fractions,in which an initial basic fraction data model was obtained via non-negative matrix factorization and updated by an iterative strategy so that the scale of the model base set was minimized as much as possible under circumstance of assured modelling accuracy. The results of simulation study verify that the proposed method is effective and suitable for a wide application to petrochemical processes.关键词
石油馏分/状态空间表征/基础馏分数据模型/非负矩阵分解/迭代优化Key words
petroleum fractions/state space representation/basic fraction data model/non-negative matrix factorization/iterative optimization分类
能源科技引用本文复制引用
梅华,黄彪,钱锋..石油馏分基础数据模型建模方法[J].化工学报,2018,69(3):931-935,5.基金项目
国家自然科学基金重点项目(61333010) （61333010）
国家自然科学基金优秀青年基金项目(61422303) （61422303）
国家留学基金委资助项目(201606745013).supported by the National Natural Science Foundation of China(61333010,61422303)and the China Scholarship Council(201606745013). （201606745013）
