On-line Multivariate Statistical Monitoring of a Fed-batch Sugar Crystallisation Process

• Type: Article in International Conference Proceedings Book
• Date: 2004

Authors

A. Simoglou (Author) FEUP; P. Georgieva (Author) FEUP; E. B. Martin (Author) FEUP; A. J. Morris (Author) FEUP; Sebastião Feyo de Azevedo (Author) FEUP

Conference proceedings International

Title: European Symposium On Computer-Aided Process Engineering - 14

Pages: 817-822

37th European Symposium of the Working Party on Computer-Aided Process Engineering

Lisbon, Portugal, 16-19 May

Indexing

ISI Web of Science

Scopus

Scientific classification

FOS: Engineering and technology > Chemical engineering

CORDIS: Technological sciences > Engineering > Chemical engineering

Other information

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6