Adaptive multiscale principal component analysis for on-line monitoring of a sequencing batch reactor

Journal of Biotechnology

Volumn 116, Issue 2, 2005, Pages 195-210

  Lee, Dae Sung ^a   Park, Jong Moon ^a   Vanrolleghem, Peter A ^b  

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

^b GHENT UNIVERSITY   (Belgium)

Author keywords

Batch process; Multiscale; Principal component analysis; Process monitoring

Indexed keywords

APPROXIMATION THEORY; DATA REDUCTION; MONITORING; ONLINE SYSTEMS; WASTEWATER TREATMENT;

BATCH REACTOR; FAULT DETECTION; MULTI-RESOLUTION ANALYSIS (MRA); PROCESS MONITORING;

PRINCIPAL COMPONENT ANALYSIS;

ARTICLE; BATCH PROCESS; CHEMICAL ANALYSIS; MATHEMATICAL COMPUTING; MONITORING; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; SEQUENCING BATCH REACTOR; TIME; WASTE WATER;

ALGORITHMS; BIOREACTORS; CELL CULTURE TECHNIQUES; COMPUTER SIMULATION; FEEDBACK; MODELS, BIOLOGICAL; MONITORING, PHYSIOLOGIC; ONLINE SYSTEMS; PRINCIPAL COMPONENT ANALYSIS;

EID: 12344295457     PISSN: 01681656     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbiotec.2004.10.012     Document Type: Article

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