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Variable-weighted Fisher discriminant analysis for process fault diagnosis

✍ Scribed by Xiao Bin He; W. Wang; Yu Pu Yang; Ya Hong Yang


Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
646 KB
Volume
19
Category
Article
ISSN
0959-1524

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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