Adaptive soft sensor modeling framework based on just-in-time learning and kernel partial least squares regression for nonlinear multiphase batch processes

Computers and Chemical Engineering

Volumn 71, Issue , 2014, Pages 77-93

  Jin, Huaiping ^a   Chen, Xiangguang ^a   Yang, Jianwen ^a   Wu, Lei ^a  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Adaptive soft sensor; Batch process; Chlortetracycline fermentation process; Just in time learning; Kernel partial least squares; Partial mutual information

Indexed keywords

BATCH DATA PROCESSING; BAYESIAN NETWORKS; FERMENTATION; GAUSSIAN DISTRIBUTION; INFERENCE ENGINES; JUST IN TIME PRODUCTION; LEARNING SYSTEMS; PROCESS CONTROL; QUERY PROCESSING;

ADAPTIVE SOFT-SENSOR; BATCH PROCESS; FERMENTATION PROCESS; JUST-IN-TIME LEARNING; KERNEL PARTIAL LEAST SQUARES; PARTIAL MUTUAL INFORMATIONS;

LEAST SQUARES APPROXIMATIONS;

EID: 84905686213     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compchemeng.2014.07.014     Document Type: Article

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