Weighted kernel principal component analysis based on probability density estimation and moving window and its application in nonlinear chemical process monitoring

Chemometrics and Intelligent Laboratory Systems

Volumn 127, Issue , 2013, Pages 121-131

  Jiang, Qingchao ^a   Yan, Xuefeng ^a  

^a School of Information Science and Engineering   (China)

Author keywords

Moving window; Nonlinear process monitoring; Probability density estimation; Weighted kernel principal component analysis

Indexed keywords

ARTICLE; CHEMICAL REACTION; CONTROLLED STUDY; INTERMETHOD COMPARISON; KERNEL PRINCIPAL COMPONENT ANALYSIS; NONLINEAR SYSTEM; PERFORMANCE; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; PROBABILITY; PROCESS MONITORING; QUALITY CONTROL; SIMULATION; STATISTICAL ANALYSIS; STIRRED REACTOR; TENNESSEE EASTMAN PROCESS;

EID: 84880623050     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2013.06.013     Document Type: Article

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