Parallel PCA–KPCA for nonlinear process monitoring

Both linear and nonlinear relationships may exist among process variables, and monitoring a process with such complex relationships among variables is imperative. However, individual principal component analysis (PCA) or kernel PCA (KPCA) may not be able to characterize these complex relationships w...

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Bibliographic Details

Published in:	Control engineering practice Vol. 80; pp. 17 - 25
Main Authors:	Jiang, Qingchao, Yan, Xuefeng
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.11.2018
Subjects:	Fault detection Genetic algorithm Nonlinear process monitoring Parallel PCA–KPCA Randomized algorithm Nonlinear process monitoring Fault detection Randomized algorithm Genetic algorithm Parallel PCA–KPCA
ISSN:	0967-0661, 1873-6939
Online Access:	Get full text
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