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

• Type: Article in International Conference Proceedings Book
• Date: 2005

Authors

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

Conference proceedings International

Title: 16th IFAC World Congress

Pages: 1-6

16th IFAC World Congress

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

Scientific classification

FOS: Engineering and technology > Chemical engineering

CORDIS: Technological sciences > Engineering > Chemical engineering

Other information

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.

Language: English

Type (Professor's evaluation): Scientific