A time varying state space approach for sugar crystallization process modelling and monitoring

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2005

Autores

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

Ata de Conferência Internacional

Título: 16th IFAC World Congress

Páginas: 1-6

16th IFAC World Congress

Praha, Czech Republic, 4 a 8 de Julho de 2005

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia química

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia química

Outras Informações

DOI: 10.3182/20050703-6-CZ-1902.01580

Abstract (EN): The present paper contributes to the issues of batch process modelling and monitoring by proposing a time-varying state space (TVSS) model for the evaporative sugar crystallization industrial process. The study is focused on issues of on-line detection of changes in crystallization process operation, the early warning of process malfunctions and potential production failures; problems that have not been directly addressed by existing statistical monitoring schemes. The TVSS methodology is compared with current state-of-the-art techniques and the results obtained demonstrate the superior performance of the TVSS approach to successfully detect abnormal events and periods of bad operation.

Idioma: Inglês

Tipo (Avaliação Docente): Científica