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Authors: Timo Ahvenlampi 1 and Rami Rantanen 2

Affiliations: 1 University of Oulu, Systems Engineering Laboratory, Finland ; 2 Metso Automation Inc., Process Automation Systems, Finland

Keyword(s): Fault tolerant, pulp industry, monitoring, controllability.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Computational Intelligence ; Enterprise Information Systems ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Intelligent Fault Detection and Identification ; Soft Computing

Abstract: In this study, Kappa number prediction and diagnosis in continuous Downflow Lo-SolidsTM cooking application is investigated. Gustafson’s Kappa number model is applied for the prediction of the blowline Kappa number. New cooking temperature set point is solved iteratively based on the difference between the predicted and target blow-line kappa numbers. The main active variables for the Kappa number are monitored using self-organizing map (SOM). The diagnosis and Kappa control are combined into a fault tolerant system. The data is collected from industrial continuous Downflow Lo-SolidsTM cooking digester. Good results were achieved using the proposed approach.

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Paper citation in several formats:
Ahvenlampi, T. and Rantanen, R. (2007). ENHANCING KAPPA NUMBER CONTROL IN DOWNFLOW LO-SOLIDSTM DIGESTER USING DIAGNOSIS AND MODELLING. In Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-972-8865-82-5; ISSN 2184-2809, SciTePress, pages 161-166. DOI: 10.5220/0001626201610166

@conference{icinco07,
author={Timo Ahvenlampi. and Rami Rantanen.},
title={ENHANCING KAPPA NUMBER CONTROL IN DOWNFLOW LO-SOLIDSTM DIGESTER USING DIAGNOSIS AND MODELLING},
booktitle={Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2007},
pages={161-166},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001626201610166},
isbn={978-972-8865-82-5},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - ENHANCING KAPPA NUMBER CONTROL IN DOWNFLOW LO-SOLIDSTM DIGESTER USING DIAGNOSIS AND MODELLING
SN - 978-972-8865-82-5
IS - 2184-2809
AU - Ahvenlampi, T.
AU - Rantanen, R.
PY - 2007
SP - 161
EP - 166
DO - 10.5220/0001626201610166
PB - SciTePress

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