Nonlinear Process Monitoring Using Regression and Reconstruction Method

IEEE Transactions on Automation Science and Engineering

Volumn 13, Issue 3, 2016, Pages 1343-1354

  Zhang, Yingwei ^a   Fan, Yunpeng ^a   Du, Wenyou ^a  

^a STATE KEY LABORATORY OF SYNTHETICAL AUTOMATION FOR PROCESS INDUSTRIES   (China)

Author keywords

Fault diagnosis; fault direction; output relevant variation

Indexed keywords

PRINCIPAL COMPONENT ANALYSIS; PROCESS CONTROL; PROCESS MONITORING; REGRESSION ANALYSIS;

CONTINUOUS ANNEALING PROCESS; CONVENTIONAL ALGORITHMS; KERNEL PARTIAL LEAST SQUARE (KPLS); NON-LINEAR REGRESSION; NONLINEAR PROCESS MONITORING; PRINCIPAL COMPONENTS; RECONSTRUCTION ALGORITHMS; RECONSTRUCTION METHOD;

LEAST SQUARES APPROXIMATIONS;

EID: 84971574716     PISSN: 15455955     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASE.2016.2564442     Document Type: Article

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