Defining the structure of DPCA models and its impact on process monitoring and prediction activities

Chemometrics and Intelligent Laboratory Systems

Volumn 125, Issue , 2013, Pages 74-

  Rato, Tiago J ^a   Reis, Marco S ^a  

^a UNIVERSITY OF COIMBRA   (Portugal)

Author keywords

Dynamic principal component analysis (DPCA); Lag selection; Multivariate statistical process control (MSPC); System identification

Indexed keywords

ACCURACY; ALGORITHM; ARTICLE; CONCEPTUAL FRAMEWORK; CONTROLLED STUDY; DYNAMIC PRINCIPAL COMPONENT ANALYSIS; LIMIT OF DETECTION; MATHEMATICAL ANALYSIS; MATHEMATICAL VARIABLE; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; PROCESS MONITORING; PROCESS OPTIMIZATION; ROBUSTNESS; STATISTICAL DISTRIBUTION; STATISTICAL MODEL; STATISTICAL PARAMETERS; STATISTICAL SIGNIFICANCE;

EID: 84877112226     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2013.03.009     Document Type: Article

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