Soft sensor model development in multiphase/multimode processes based on Gaussian mixture regression

Chemometrics and Intelligent Laboratory Systems

Volumn 138, Issue , 2014, Pages 97-109

  Yuan, Xiaofeng ^a   Ge, Zhiqiang ^a   Song, Zhihuan ^a  

^a STATE KEY LABORATORY OF INDUSTRIAL CONTROL TECHNOLOGY   (China)

Author keywords

Gaussian mixture regression; Multimode process; Multiphase process; Quality prediction; Soft sensor

Indexed keywords

ALGORITHM; ARTICLE; CONTROLLED STUDY; EXPECTATION MAXIMIZATION ALGORITHM; FEASIBILITY STUDY; GAUSSIAN MIXTURE REGRESSION MODEL; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; PREDICTION; PRIORITY JOURNAL; PROCESS DEVELOPMENT; PROCESS MONITORING; PROCESS OPTIMIZATION; QUALITY CONTROL; SENSOR; SOFT SENSOR; STATISTICAL MODEL; VALIDATION STUDY; INDUSTRY; MATHEMATICAL MODEL; MULTIMODE PROCESS; MULTIPHASE PROCESS; PARAMETERS; PARTIAL LEAST SQUARES REGRESSION; PROCESS TECHNOLOGY; SOFT SENSOR MODEL;

EID: 84905715987     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2014.07.013     Document Type: Article

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