New online monitoring method for multiple operating modes process

GE Zhiqiang; SONG Zhihuan

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New online monitoring method for multiple operating modes process

更新时间：2025-12-10

- New online monitoring method for multiple operating modes process
- CIESC Journal Issue 1, Pages: 135-141(2008)
- 作者机构：
  
  工业控制技术国家重点实验室，浙江大学工业控制研究所
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Online First：05 January 2008，
  
  Published：05 January 2008
- 稿件说明：
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GE Zhiqiang, SONG Zhihuan. New online monitoring method for multiple operating modes process[J]. CIESC Journal, 2008, (1): 135-141.
DOI：

GE Zhiqiang, SONG Zhihuan. New online monitoring method for multiple operating modes process[J]. CIESC Journal, 2008, (1): 135-141. DOI：

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。

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.

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