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On-line multivariate statistical monitoring of a fed-batch sugar crystallisation process

Lookup NU author(s): Dr Alexandros Simoglou, Professor Elaine Martin, Emeritus Professor Julian Morris

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Abstract

The paper describes statistical process control tools that have been applied for the online monitoring of an industrial fed-batch sugar crystallisation process. The process is characterised by distinct operating phases during operation and the presence of strong non-linear, dynamic relationships between the variables. Process performance is controlled manually by operators based on their experience. The success of each batch is determined at the end of the batch run through off-line crystal size distribution measurements. The development and application of a monitoring tool based on the online frequent process measurements could be of significant benefit, since it could realise early detection of operational changes, process faults and hence a reduction in the number of off-specification batches. © 2004 Elsevier B.V. All rights reserved.

Publication metadata

Author(s): Simoglou A, Georgieva P, Martin E, Morris A, Feyo de Azevedo S

Publication type: Article

Publication status: Published

Journal: Computer Aided Chemical Engineering

Year: 2004

Volume: 18

Issue: C

Pages: 817-822

ISSN (print): 1570-7946

ISSN (electronic):

Publisher: Elsevier BV

URL: http://dx.doi.org/10.1016/S1570-7946(04)80202-5

DOI: 10.1016/S1570-7946(04)80202-5

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