化工学报 ›› 2008, Vol. 59 ›› Issue (1): 135-141.

• 过程系统工程 • 上一篇    下一篇

一种新的多工况过程在线监测方法

葛志强,宋执环   

  1. 工业控制技术国家重点实验室,浙江大学工业控制研究所
  • 出版日期:2008-01-05 发布日期:2008-01-05

New online monitoring method for multiple operating modes process

GE Zhiqiang,SONG Zhihuan   

  • Online:2008-01-05 Published:2008-01-05

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

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.

Key words:

多工况, 非高斯, 外部分析, ICA-PCA, PLS