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Analysis and generalization of fault diagnosis methods for process monitoring

✍ Scribed by Carlos F. Alcala; S. Joe Qin

Publisher
Elsevier Science
Year
2011
Tongue
English
Weight
461 KB
Volume
21
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