Complex process quality prediction using modified kernel partial least squares

Chemical Engineering Science

Volumn 65, Issue 6, 2010, Pages 2153-2158

  Zhang, Yingwei ^a   Teng, Yongdong ^a   Zhang, Yang ^a  

^a KEY LABORATORY OF INTEGRATED AUTOMATION OF PROCESS INDUSTRY   (China)

Author keywords

Independent component; Kernel principal least squares; Quality prediction

Indexed keywords

COMPLEX PROCESSES; ENTROPY THEORY; FERMENTATION PROCESS; HIGH ORDER STATISTICS; HIGH-ORDER; INDEPENDENT COMPONENTS; INDEPENDENT SIGNALS; INDUSTRIAL PROCESSS; KERNEL PARTIAL LEAST SQUARES; LEAST SQUARE; MEASUREMENT DATA; MODIFIED KERNELS; NON-GAUSSIAN DATA; NON-GAUSSIAN PROCESS; ONLINE MONITORING; PREDICTIVE ABILITIES; PROCESS VARIABLES; QUALITY PREDICTION; SIGNAL CORRECTION; STATISTICAL ANALYSIS; TENNESSEE EASTMAN PROCESS;

FERMENTATION; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); HEMODYNAMICS;

INDEPENDENT COMPONENT ANALYSIS;

EID: 76549132623     PISSN: 00092509     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ces.2009.12.010     Document Type: Article

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