LTSA and combined index based non-Gaussian process monitoring and application

YANG Zhengyong; WANG Xin; WANG Zhenlei

doi:10.11949/j.issn.0438-1157.20141180

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LTSA and combined index based non-Gaussian process monitoring and application

更新时间：2025-12-10

- LTSA and combined index based non-Gaussian process monitoring and application
- CIESC Journal Issue 4, Pages: 1370-1377(2015)
- 作者机构：
  
  1. 化工过程先进控制和优化技术教育部重点实验室华东理工大学,上海,200237
  2. 上海交通大学电工与电子技术中心,上海,200240
- 作者简介：
- 基金信息：
- DOI：10.11949/j.issn.0438-1157.20141180
  CLC： P277
- Online First：05 April 2015，
  
  Published：05 April 2015
- 稿件说明：
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YANG Zhengyong, WANG Xin, WANG Zhenlei. LTSA and combined index based non-Gaussian process monitoring and application[J]. CIESC Journal, 2015, (4): 1370-1377.
DOI：

YANG Zhengyong, WANG Xin, WANG Zhenlei. LTSA and combined index based non-Gaussian process monitoring and application[J]. CIESC Journal, 2015, (4): 1370-1377. DOI： 10.11949/j.issn.0438-1157.20141180.

摘要

很多实际工业过程数据都具有高维、非线性且不严格服从高斯分布等特点。为处理数据维数高且是高斯分布和非高斯分布的混合体等问题

实现高效的过程监控

提出了一种基于LTSA和联合指标的非高斯过程监控方法。首先采用局部切空间排列(LTSA)算法从正常样本数据中提取低维子流形以实现维数约减;然后基于非高斯-高斯两步策略建立统计模型并得到非高斯统计量和高斯统计量

再对其进行加权得到新的统计量以实现对过程的监控;最后将该方法应用于田纳西-伊斯曼标准测试平台和实际乙烯裂解炉的过程监控

说明了所提方法的有效性。

Abstract

Many industrial process variables have characteristics of high-dimension and not strictly obeying the Gaussian distribution. A method was proposed to solve these problems of the industrial process. The method was based on LTSA algorithm and combined index to improve monitoring performance. Firstly

the local tangent space alignment (LTSA) algorithm was used to get the sub-manifold of low dimension from the normal sample data to achieve dimensionality reduction. The two-step strategy was used to get the new statistical model. Then

the non-Gaussian statistical value and the Gaussian statistical value were constructed. Therefore

the new statistical value weighted by these two statistical values was intended to achieve monitoring of the process. Finally

the proposed method was applied to the Tennessee Eastman (TE) process and the ethylene cracking furnace to demonstrate its effectiveness.

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Related Institution

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