## Abstract The aim of this paper is to propose a novel realβtime 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
β¦ LIBER β¦
Fault diagnosis in chemical processes using Fisher discriminant analysis, discriminant partial least squares, and principal component analysis
β Scribed by Leo H Chiang; Evan L Russell; Richard D Braatz
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 211 KB
- Volume
- 50
- Category
- Article
- ISSN
- 0169-7439
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