Monitoring multi-mode plant-wide processes by using mutual information-based multi-block PCA, joint probability, and Bayesian inference

Chemometrics and Intelligent Laboratory Systems

Volumn 136, Issue , 2014, Pages 121-137

  Jiang, Qingchao ^a   Yan, Xuefeng ^a  

^a School of Information Science and Engineering   (China)

Author keywords

Bayesian inference; Joint probability; Multi block principal component analysis; Multi mode plant wide process; Mutual information

Indexed keywords

COOLING WATER;

ACCURACY; ARTICLE; AUTOMATION; BAYES THEOREM; CONTROLLED STUDY; DISTRIBUTED PRINCIPAL COMPONENT ANALYSIS; FALSE POSITIVE RESULT; FAULT IDENTIFICATION; FEASIBILITY STUDY; FLOW RATE; INTERMETHOD COMPARISON; JOINT PROBABILITY; MATHEMATICAL PHENOMENA; MULTI BLOCK PRINCIPAL COMPONENT ANALYSIS; MUTUAL INFORMATION BASED MULTI BLOCK PRINCIPAL COMPONENT ANALYSIS; NORMAL DISTRIBUTION; ONLINE MONITORING; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; PROBABILITY; PROCESS MONITORING; QUALITY CONTROL; SIMULATION; STATISTICAL MODEL; WATER FLOW;

EID: 84902304472     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2014.05.012     Document Type: Article

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