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Fault detection and diagnosis based on modified independent component analysis

✍ Scribed by Jong-Min Lee; S. Joe Qin; In-Beum Lee


Publisher
American Institute of Chemical Engineers
Year
2006
Tongue
English
Weight
408 KB
Volume
52
Category
Article
ISSN
0001-1541

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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