Nonlinear dynamic process monitoring using canonical variate analysis and kernel density estimations

IEEE Transactions on Industrial Informatics

Volumn 6, Issue 1, 2010, Pages 36-45

  Odiowei, Pabara Ebiere Patricia ^a   Cao, Yi ^a  

^a CRANFIELD UNIVERSITY   (United Kingdom)

Author keywords

Canonical variate analysis (CVA); Kernel density estimation (KDE); Probability density function (PDF); Process monitoring

Indexed keywords

CANONICAL VARIATE ANALYSIS; DYNAMIC EXTENSION; DYNAMIC MONITORING; GAUSSIAN ASSUMPTION; INDUSTRIAL PROCESSS; KERNEL DENSITY ESTIMATION; MONITORING METRICS; MONITORING PERFORMANCE; MONITORING TECHNIQUES; MONITORING TOOLS; NON-LINEAR DYNAMICS; PARTIAL LEAST SQUARES; PROBABILITY DENSITY FUNCTION (PDF); STATE-SPACE; TENNESSEE EASTMAN PROCESS; UPPER CONTROL LIMIT;

ESTIMATION; NONLINEAR ANALYSIS; OPTICAL COMMUNICATION; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY DISTRIBUTIONS; PROCESS CONTROL; PROCESS MONITORING;

PROBABILITY DENSITY FUNCTION;

EID: 76849114320     PISSN: 15513203     EISSN: None     Source Type: Journal    
DOI: 10.1109/TII.2009.2032654     Document Type: Article

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