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...

Celý popis

Podrobná bibliografia

Vydané v:	Control engineering practice Ročník 80; s. 17 - 25
Hlavní autori:	Jiang, Qingchao, Yan, Xuefeng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.11.2018
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!