articleTop 1% cited
Nonlinear process monitoring using kernel principal component analysis
Chemical Engineering Science · 2003 · Vol. 59(1) · pp. 223–234
Jong‐Min Lee✉(Pohang University of Science and Technology)ChangKyoo Yoo(Ghent University)Sang Wook Choi(Pohang University of Science and Technology)Peter A. Vanrolleghem(Ghent University)In−Beum Lee(Pohang University of Science and Technology)
Fault Detection and Control SystemsSpectroscopy and Chemometric AnalysesMineral Processing and GrindingKernel principal component analysisPrincipal component analysisNonlinear systemKernel (algebra)Pattern recognition (psychology)Artificial intelligencePrincipal component regressionBenchmark (surveying)Feature (linguistics)Feature vector
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References
Multiscale PCA with application to multivariate statistical process monitoring
AIChE Journal · 1998 · 836 citations
Identification of faulty sensors using principal component analysis
AIChE Journal · 1996 · 521 citations
Selection of the Number of Principal Components: The Variance of the Reconstruction Error Criterion with a Comparison to Other Methods
Industrial & Engineering Chemistry Research · 1999 · 545 citations
Input space versus feature space in kernel-based methods
IEEE Transactions on Neural Networks · 1999 · 1,168 citations
An introduction to kernel-based learning algorithms
IEEE Transactions on Neural Networks · 2001 · 3,478 citations
Nonlinear principal component analysis using autoassociative neural networks
AIChE Journal · 1991 · 3,014 citations
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
Neural Computation · 1998 · 8,015 citations
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