Fault detection and identification of nonlinear processes based on kernel PCA

Chemometrics and Intelligent Laboratory Systems

Volumn 75, Issue 1, 2005, Pages 55-67

  Choi, Sang Wook ^a   Lee, Changkyu ^b   Lee, Jong Min ^b   Park, Jin Hyun ^c   Lee, In Beum ^b  

^a NEWCASTLE UNIVERSITY   (United Kingdom)

^b Pohang University of Science and Technology (POSTECH)   (South Korea)

^c PNI Consulting Co Ltd   (South Korea)

Author keywords

Data reconstruction; Fault detection and isolation; Kernel principal component analysis; Monitoring statistics

Indexed keywords

ARTICLE; CHEMICAL REACTION; ENERGY TRANSFER; ERROR; MATHEMATICAL COMPUTING; METHODOLOGY; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; SIMULATION; STATISTICAL ANALYSIS;

EID: 11144331636     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemolab.2004.05.001     Document Type: Article

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