Abstract
This paper describes an expert system for the on-line diagnosis of blast furnaces. The system analysis more than a hundred parameters in real time and shows the operator the status of the blast furnace and its behaviour. The system also gives suggestions and control set-points in order to achieve a better hot metal quality and aimed analysis, as well as to increase the production in the blast furnace. In addition to the information given by the furnace, the expert system also takes advantage of a theoretical model of behaviour of thermal status and permeability and apply the considerations given by the human experts in order to solve all the conflicts.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Alguero, A. Algoritmos para el Tratamiento de Reglas Aprendidas a partir de Ejemplos. Doctoral Thesis (1996). University of Oviedo, Spain.
Alguero, A., Pérez-Llera, C. Alonso, J. Medical Data Mining with a new Inductive Learning Tool. ISAS’97, Caracas Venezuela (1997).
Davis, Randall; Hamscher, Walter. Model based reasoning: Troubleshooting. In Model based diagnosis. Morgan Kaufman Publishers (1992).
De Kleer, Johan; Willians, Brian C. Diagnosis with behavioural models. In Model based diagnosis. Morgan Kaufman Publishers (1992)
Dvorak, Daniel; Kuipers, Benjamin. Process Monitoring and Diagnosis. A model based approach. IEEE Expert. June (1992)
Jovic, F. Expert Systems in Process Control. Chapman & Hall (1992)
Neira, A.; Otero, A.; Cabanas, M.; Sanz, M. A.; Gomez-Aleixandre, J. Electric motor on-line diagnosis. A model-based approach. Int. Conf. on Integrated Logistics & Concurrent Engineering ilce’95. Paris (1995)
Nguyen, Tin A.; Perkins, Walton A.; Laffey, Thomas J.; Pecora, Deanne. Knowledge Base Verification. In AI Magazine. Summer (1987).
Quinlan, R. C4.5: Programs for Machine Learning. Morgan Kaufmann, S (1993).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Tuya, J. et al. (2001). An Expert System for Ironmaking. In: Monostori, L., Váncza, J., Ali, M. (eds) Engineering of Intelligent Systems. IEA/AIE 2001. Lecture Notes in Computer Science(), vol 2070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45517-5_54
Download citation
DOI: https://doi.org/10.1007/3-540-45517-5_54
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42219-8
Online ISBN: 978-3-540-45517-2
eBook Packages: Springer Book Archive