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

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2004

Autores

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

Ata de Conferência Internacional

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

Páginas: 817-822

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

Lisbon, Portugal, 16-19 May

Indexação

ISI Web of Science

Scopus

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia química

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia química

Outras Informações

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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6