全文下载：2012030269
黄兆杰， 金思毅*， 王莉
（青岛科技大学 化工学院，山东 青岛 266042）
摘要: 用多项式滤波预处理化工过程数据时，多项式滤波的除噪效果与多项式次数和数据点数目有关。当选取的数据点数目不大时，提出一种根据中位数选取多项式次数的方法，以提高多项式滤波的除噪效果。基于该方法，同时研究了多项式滤波的过失误差侦破性能。选取一反应釜系统进行仿真运算，计算结果表明，基于中位数选取多项式次数的方法能有效地除噪、有效地侦破过失误差。
关键词: 多项式滤波; 多项式次数选取； 除噪； 过失误差侦破
中图分类号: TQ 015.9; TP 274文献标志码： A
Error Reduction of Chemical Process Data Based on Polynomial Filters
HUANG Zhao-jie, JIN Si-yi, WANG Li
(CollegeofChemical Engineering,QingdaoUniversityof Science and Technology,Qingdao266042,China)
Abstract： When polynomial filters are used for error reduction of chemical process data, the error reduction is influenced by the number of data points used and the order of polynomial filters. When the number of data points is not large, a method of choosing the order of polynomial filters is proposed to achieve a good error reduction in this investigation. Based on this method, the performances of gross errors detection of polynomial filters are used in a agitated reactor system. Simulation results show that this new method is characterized by error reduction and gross errors detection.
Key words： polynomial filters; choosing the order of polynomial; error reduction; gross errors detection
收稿日期：2012-01-05
作者简介： 黄兆杰（1987—），男，硕士研究生.*通信联系人.
