| 一种新的多工况过程在线监测方法 |
| |
| 引用本文： | 葛志强,宋执环.一种新的多工况过程在线监测方法[J].化工学报,2008,59(1):135-141. |
| |
| 作者姓名： | 葛志强 宋执环 |
| |
| 作者单位： | 工业控制技术国家重点实验室，浙江大学工业控制研究所 |
| |
| 基金项目： | 国家自然科学基金项目(60774067)~~ |
| |
| 摘 要： | 针对复杂工业过程中的多工况和非高斯信息问题，提出一种基于外部分析的ICA-PCA（independent component analysis and principal component analysis）在线统计监测新方法。首先把过程变量分为外部变量和主要变量，通过偏最小二乘（PLS）回归方法分离外部变量对主要变量的影响，然后利用ICA-PCA两步信息提取策略，完整地提取过程的信息，最后用3个统计量对过程进行监测，建立了一种具有非高斯特性的多工况过程在线监测算法。通过对一个数值例子和连续搅拌槽（CSTR）过程的仿真研究，说明提出的方法是可行、有效的。
|
| 关 键 词： | 多工况 非高斯 外部分析 ICA-PCA PLS |
| 文章编号： | 0438-1157（2008）01-0135-07 |
| 收稿时间： | 2007-01-19 |
| 修稿时间： | 2007-05-09 |
New online monitoring method for multiple operating modes process |
| |
| GE Zhiqiang,SONG Zhihuan.New online monitoring method for multiple operating modes process[J].Journal of Chemical Industry and Engineering(China),2008,59(1):135-141. |
| |
| Authors: | GE Zhiqiang SONG Zhihuan |
| |
| Abstract: | In order to handle the multiple operating modes problem and the widely existing non-Gaussian information of industrial processes,a new online process monitoring method was proposed,which was based on external analysis and independent component analysis and principal component analysis(ICA-PCA).First,process variables were divided into two parts: external variables and main variables,and partial least square(PLS) was used to remove the influence of external variables on main variables.Then a two-step information extraction method ICA-PCA was used to extract the process information completely.Finally,three statistics were built to monitor the process.An online algorithm was also developed.Simulations of a linear system and CSTR process showed the feasibility and effectiveness of the new method. |
| |
| Keywords: | multiple modes non-Gaussian external analysis ICAPCA PLS |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《化工学报》浏览原始摘要信息 |
|
点击此处可从《化工学报》下载全文 |
