Performance-Driven Distributed PCA Process Monitoring Based on Fault-Relevant Variable Selection and Bayesian Inference

IEEE Transactions on Industrial Electronics

Volumn 63, Issue 1, 2016, Pages 377-386

  Jiang, Qingchao ^a,b   Yan, Xuefeng ^a   Huang, Biao ^b  

^a School of Information Science and Engineering   (China)

^b UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Bayesian inference; Distributed monitoring; Fault relevant variable selection; Principal component analysis (PCA)

Indexed keywords

ALGORITHMS; BAYESIAN NETWORKS; FAULT DETECTION; FEATURE EXTRACTION; INFERENCE ENGINES; MONITORING; MULTIVARIANT ANALYSIS; OPTIMIZATION; PROCESS CONTROL; PROCESS MONITORING; STATISTICAL PROCESS CONTROL;

BAYESIAN INFERENCE; DISTRIBUTED METHODS; DISTRIBUTED MONITORING; FAULT DETECTION AND ISOLATION; MONITORING PERFORMANCE; MULTIVARIATE STATISTICAL PROCESS MONITORING; OPTIMIZATION ALGORITHMS; VARIABLE SELECTION;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84961129025     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIE.2015.2466557     Document Type: Article

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