Multimode Dynamic Process Monitoring Based on Mixture Canonical Variate Analysis Model
Multimode Dynamic Process Monitoring Based on Mixture Canonical Variate Analysis Model
复制标题
基于混合典型变量分析模型的多模式动态过程监测
DOI：
10.1021/ie503324g
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发表时间：
2015-01
影响因子：
4.2
通讯作者：
Zhihuan Song
中科院分区：
文献类型：
--
作者：
Qiaojun Wen;Zhiqiang Ge;Zhihuan Song
对于具有多种运行条件和动态特性的复杂工业过程，传统的动态过程监测技术（例如典型变量分析，CVA）不太适合，因为运行数据遵循单峰高斯分布的基本假设通常变得无效。在本文中，提出了一种新颖的混合典型变量分析（MCVA）模型来建模和监测多模态动态过程。首先，假设增强的过程数据是许多不同的簇，每个簇对应于一种操作模式并且可以用高斯分量来表征。然后，在每个高斯簇中对协方差矩阵进行奇异值分解，得到相应的规范变量。为了过程监控的目的，计算每个集群中的本地统计数据并以概率的方式获得综合监控指标。拟议监测的有效性和有效性...
For complex industrial processes with multiple operating conditions and dynamic characteristics, the traditional dynamic process monitoring techniques (e.g., canonical variate analysis, CVA) are not well-suited, because the fundamental assumption that the operating data follow a unimodal Gaussian distribution usually becomes invalid. In this article, a novel mixture canonical variate analysis (MCVA) model is proposed to model and monitor multimode dynamic processes. First, the augmented process data are assumed to be many different clusters, each of which corresponds to an operating mode and can be characterized by a Gaussian component. Then, singular value decomposition of the covariance matrices is implemented in each Gaussian cluster and the corresponding canonical variates are obtained. For process monitoring purposes, the local statistics in each cluster are calculated and the integrated monitoring indices are obtained in a probabilistic manner. The validity and effectiveness of the proposed monitori...
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影响因子：
8.4
作者：
Zhiqiang Ge;U. Kruger;Lisa Lamont;Lei Xie;Zhihuan Song
通讯作者：
Zhiqiang Ge;U. Kruger;Lisa Lamont;Lei Xie;Zhihuan Song
DOI：
10.1109/34.990138
发表时间：
2002-03-01
影响因子：
23.6
作者：
Figueiredo, MAT;Jain, AK
通讯作者：
Jain, AK
影响因子：
4.7
作者：
Choi, SW;Lee, IB
通讯作者：
Lee, IB
影响因子：
4.2
作者：
R. Treasure;U. Kruger;J. Cooper
通讯作者：
R. Treasure;U. Kruger;J. Cooper
影响因子：
3.7
作者：
Jinlin Zhu;Zhiqiang Ge;Zhihuan Song
通讯作者：
Jinlin Zhu;Zhiqiang Ge;Zhihuan Song