Real-time product quality control for batch processes based on stacked least-squares support vector regression models

Computers and Chemical Engineering

Volumn 36, Issue 1, 2012, Pages 217-226

  Zhang, Shuning ^a   Wang, Fuli ^a,b   He, Dakuo ^a,b   Jia, Runda ^a  

^a NORTHEASTERN UNIVERSITY   (China)

^b KEY LABORATORY OF INTEGRATED AUTOMATION OF PROCESS INDUSTRY   (China)

Author keywords

Batch processes; Least squares support vector regression; Optimization; Quality control

Indexed keywords

BATCH OPERATION; BATCH PROCESS; BATCH-TO-BATCH CONTROL; CONTROL ACTIONS; DECISION POINTS; GENERALIZATION CAPABILITY; LEAST SQUARES SUPPORT VECTOR REGRESSION; MANIPULATED VARIABLES; MODEL PREDICTION; PROCESS VARIABLES; PRODUCT QUALITY; PRODUCT QUALITY CONTROL; QUALITY CONTROL STRATEGIES;

BATCH DATA PROCESSING; BATCH REACTORS; LEAST SQUARES APPROXIMATIONS; OPTIMIZATION; QUALITY ASSURANCE; QUALITY CONTROL; REGRESSION ANALYSIS;

PROCESS CONTROL;

EID: 84855962953     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compchemeng.2011.05.015     Document Type: Article

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