An Indirect Kernel Optimization Approach to Fault Detection with KPCA

DOI10.1007/978-3-319-38869-4_5zbMath1350.65009OpenAlexW4233554416MaRDI QIDQ2822757

Alberto Prieto-Moreno, José M. Bernal de Lázaro, Diego Campos-Knupp, Orestes Llanes Santiago

Publication date: 4 October 2016

Published in: Mathematical Modeling and Computational Intelligence in Engineering Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-38869-4_5

zbMATH Keywords

fault detectionnumerical exampleskernel principal component analysisfalse alarm ratedimension-reductionindirect optimizationfalse detection ratekernel parameter optimizationcurve ROC historical dataTennessee Eastman

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25)

Cites Work

• Direct and inverse analysis of diffusive logistic population evolution with time delay and impulsive culling via integral transforms and hybrid optimization
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• Fault detection and diagnosis in industrial systems

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