Multivariate statistical real-time monitoring of an industrial fed-batch process for the production of specialty chemicals

Chemical Engineering Research and Design

Volumn 87, Issue 3, 2009, Pages 325-334

  Faggian, Andrea ^a   Facco, Pierantonio ^a   Doplicher, Franco ^b   Bezzo, Fabrizio ^a   Barolo, Massimiliano ^a  

^a UNIVERSITY OF PADOVA   (Italy)

^b Sirca SpA Resins and Coatings   (Italy)

Author keywords

Batch process monitoring; Multivariate statistical methods; Partial least squares regression; Statistical process control

Indexed keywords

BATCH DATA PROCESSING; CURVE FITTING; DRUG PRODUCTS; INDUSTRIAL CHEMICALS; LEAST SQUARES APPROXIMATIONS; MICROELECTRONICS; MULTIVARIANT ANALYSIS; PROCESS ENGINEERING; PROCESS MONITORING; PRODUCTION ENGINEERING; QUALITY CONTROL; RESINS; STATISTICAL METHODS; STATISTICAL PROCESS CONTROL; STATISTICS; SURFACE TREATMENT;

AVERAGE ERRORS; BATCH MODES; BATCH PROCESS; BATCH PROCESS MONITORING; FED-BATCH PROCESS; INDUSTRIAL BENEFITS; INDUSTRIAL CASE STUDIES; INDUSTRIAL PROCESS; MONITORING SYSTEMS; MULTIVARIATE STATISTICAL METHODS; MULTIVARIATE STATISTICAL TECHNIQUES; NUMBER OF SAMPLES; PARTIAL LEAST SQUARES REGRESSION; PRODUCT QUALITIES; PRODUCT QUALITY MONITORING; PRODUCTION PROCESS; PRODUCTION SCHEDULING; QUALITY ESTIMATIONS; REAL TIME; REAL-TIME ESTIMATIONS; REAL-TIME MONITORING; REQUIRED TIME; SPECIALTY CHEMICALS; TOTAL PROCESSING TIME;

PROCESS CONTROL;

EID: 60249088159     PISSN: 02638762     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cherd.2008.08.019     Document Type: Article

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