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Fault Detection Behavior and Performance Analysis of Principal Component Analysis Based Process Monitoring Methods

✍ Scribed by Wang, Haiqing; Song, Zhihuan; Li, Ping

Book ID
125538794
Publisher
American Chemical Society
Year
2002
Tongue
English
Weight
114 KB
Volume
41
Category
Article
ISSN
0888-5885

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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