Nonlinear Real-time Process Monitoring a
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X. Zhang; W.-W. Yan; X. Zhao; H.-H. Shao
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Article
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2007
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John Wiley and Sons
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English
β 278 KB
## 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