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Statistical process monitoring based on improved principal component analysis and its application to chemical processes

✍ Scribed by Chu-dong Tong, Xue-feng Yan, Yu-xin Ma


Book ID
120883107
Publisher
SP Zhejiang University Press
Year
2013
Tongue
English
Weight
858 KB
Volume
14
Category
Article
ISSN
1009-3095

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## Abstract The aim of this paper is to propose a novel real‐time process monitoring and fault diagnosis method based on the principal component analysis (PCA) and kernel Fisher discriminant analysis (KFDA). There is a need to develop this method in order to overcome the inherent limitations of the