Development of soft-sensors for online quality prediction of sequential-reactor-multi-grade industrial processes

Chemical Engineering Science

Volumn 102, Issue , 2013, Pages 602-612

  Liu, Yi ^a,b   Gao, Zengliang ^a   Chen, Junghui ^b  

^a ZHEJIANG UNIVERSITY OF TECHNOLOGY   (China)

^b CHUNG YUAN CHRISTIAN UNIVERSITY   (Taiwan)

Author keywords

Chemical reactors; Just in time learning; Sequential reactor multi grade process; Soft sensor; Support vector regression

Indexed keywords

CHEMICAL REACTORS; SENSORS;

INDUSTRIAL PROCESSS; INPUT VARIABLE SELECTION; JUST-IN-TIME LEARNING; LEAST SQUARES SUPPORT VECTOR REGRESSION; PREDICTION ACCURACY; QUALITY PREDICTION; SOFT SENSORS; SUPPORT VECTOR REGRESSION (SVR);

FORECASTING;

EID: 84884721930     PISSN: 00092509     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ces.2013.07.002     Document Type: Article

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