Hidden markov model based adaptive independent component analysis approach for complex chemical process monitoring and fault detection

Industrial and Engineering Chemistry Research

Volumn 51, Issue 15, 2012, Pages 5506-5514

  Rashid, Mudassir M ^a   Yu, Jie ^a  

^a MCMASTER UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CHEMICAL PROCESS; CHEMICAL PROCESS MONITORING; ESTIMATE DYNAMICS; FALSE ALARMS; INDEPENDENT COMPONENTS; INHERENT SYSTEM UNCERTAINTY; MEASUREMENT DATA; MONITORING APPROACH; MONITORING TECHNIQUES; MULTIVARIATE PROCESS; OPERATING CONDITION; OPERATING MODES; PRINCIPAL COMPONENT ANALYSIS (PCA); PROCESS FAULTS; PROCESS UNCERTAINTIES; TENNESSEE EASTMAN;

CHEMICAL ENGINEERING; HIDDEN MARKOV MODELS; PRINCIPAL COMPONENT ANALYSIS; PROCESS CONTROL; PROCESS MONITORING;

INDEPENDENT COMPONENT ANALYSIS;

EID: 84859903438     PISSN: 08885885     EISSN: 15205045     Source Type: Journal    
DOI: 10.1021/ie300203u     Document Type: Article

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