The application of independent component analysis in process monitoring

被引：1
|
作者：
Li Hongguang [1 ]
Hui, Guo [1 ]
机构：
[1] Beijing Univ Chem Technol, Informat Sch Informat Sci & Technol, Beijing 100029, Peoples R China
来源：
ICICIC 2006: FIRST INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING, INFORMATION AND CONTROL, VOL 1, PROCEEDINGS | 2006年
关键词：
D O I：
10.7150/ijms.3.97
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A method of using Independent Component Analysis (ICA) to monitor process is proposed in this paper. The concept, model and algorithm of ICA are introduced first, and then ICA applications in the multivariable statistical process monitoring are discussed A simulation example is used to demonstrate this approach. The results show that the independent component analysis can be considered as a new effective tool providing for statistical process monitoring and fault diagnosis.
引用
收藏
页码：97 / +
页数：2
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