Improved nonlinear fault detection technique and statistical analysis

AIChE Journal

Volumn 54, Issue 12, 2008, Pages 3207-3220

  Zhang, Yingwei ^a   Joe Qin, S ^a,b  

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

^b University of Southern California ^*  (United States)

Author keywords

Fault detection; Kernel independent component analysis (KICA); Kernel principal component analysis (KPCA); Nonlinear process monitoring

Indexed keywords

COMPUTATION TIMES; FEATURE SPACES; K-MEANS CLUSTERING; KERNEL INDEPENDENT COMPONENT ANALYSES; KERNEL INDEPENDENT COMPONENT ANALYSIS (KICA); KERNEL PRINCIPAL COMPONENT ANALYSES; KERNEL PRINCIPAL COMPONENT ANALYSIS (KPCA); KERNEL TRICKS; MULTIVARIATE STATISTICAL PROCESS MONITORING; NON LINEARITIES; NONLINEAR FAULTS; NONLINEAR PROCESS MONITORING; OBSERVED DATUMS; SIMILARITY FACTORS; SIMILARITY MEASUREMENTS; STATISTICAL ANALYSIS;

FAULT DETECTION; FEATURE EXTRACTION; INDEPENDENT COMPONENT ANALYSIS; MULTIVARIANT ANALYSIS; PROCESS CONTROL; PROCESS ENGINEERING; PROCESS MONITORING; STATISTICAL PROCESS CONTROL; VECTORS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 57049177632     PISSN: 00011541     EISSN: 15475905     Source Type: Journal    
DOI: 10.1002/aic.11617     Document Type: Article

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