Fault detection of batch processes using multiway kernel principal component analysis

Computers and Chemical Engineering

Volumn 28, Issue 9, 2004, Pages 1837-1847

  Lee, Jong Min ^a   Yoo, ChangKyoo ^b   Lee, In Beum ^a  

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

^b GHENT UNIVERSITY   (Belgium)

Author keywords

Batch monitoring; Fault detection; Kernel principal component analysis (KPCA); Multiway kernel principal component analysis (MKPCA); Principal component analysis (PCA); Process monitoring

Indexed keywords

BENCHMARKING; COMPUTER SIMULATION; MONITORING; MULTIVARIABLE SYSTEMS; PRINCIPAL COMPONENT ANALYSIS; STATISTICAL METHODS;

MULTIWAY KERNEL PRINCIPAL COMPONENT ANALYSIS (MKPCA); MULTIWAY PRINCIPAL COMPONENT ANALYSIS (MPCA);

CHEMICAL ENGINEERING;

COMPUTER;

ARTICLE; BATCH PROCESS; COMPUTER SIMULATION; CONTROL SYSTEM; DATA ANALYSIS; MONITORING; MULTIVARIATE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS;

EID: 2442495227     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compchemeng.2004.02.036     Document Type: Article

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