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Titolo:
Supervision of fed-batch fermentations
Autore:
Gregersen, L; Jorgensen, SB;
Indirizzi:
Tech Univ Denmark, Dept Chem Engn, CAPE Ctr, DK-2800 Lyngby, Denmark Tech Univ Denmark Lyngby Denmark DK-2800 PE Ctr, DK-2800 Lyngby, Denmark
Titolo Testata:
CHEMICAL ENGINEERING JOURNAL
fascicolo: 1, volume: 75, anno: 1999,
pagine: 69 - 76
SICI:
1385-8947(199908)75:1<69:SOFF>2.0.ZU;2-X
Fonte:
ISI
Lingua:
ENG
Soggetto:
CHARTS;
Keywords:
batch processes; statistical process monitoring (SPM)); process chemometrics; projection to latent structures (PLS); principal component analysis (PCA);
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
11
Recensione:
Indirizzi per estratti:
Indirizzo: Gregersen, L Tech Univ Denmark, Dept Chem Engn, CAPE Ctr, DK-2800 Lyngby, Denmark Tech Univ Denmark Lyngby Denmark DK-2800 00 Lyngby, Denmark
Citazione:
L. Gregersen e S.B. Jorgensen, "Supervision of fed-batch fermentations", CHEM ENGN J, 75(1), 1999, pp. 69-76

Abstract

Process faults may be detected on-line using existing measurements based upon modelling that is entirely data driven. A multivariate statistical model is developed and used for fault diagnosis of an industrial fed-batch fermentation process. Data from several (25) batches are used to develop a model for cultivation behaviour. This model is validated against 13 data sets and demonstrated to explain a significant amount of variation in the data. The multivariate model may directly be used for process monitoring. With this method faults are detected in real time and the responsible measurements are directly identified. The fault detection and identification is enabled through inspection of a few simple plots. Thus, the presented methodology allows the process operator to actively monitor data from several cultivations simultaneously. (C) 1999 Elsevier Science S.A. All rights reserved.

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Documento generato il 05/04/20 alle ore 06:42:39