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Authors: Heli Koskimäki (née Junno) ; Ilmari Juutilainen ; Perttu Laurinen and Juha Röning

Affiliation: Intelligent Systems Group, University of Oulu, Finland

Keyword(s): Adaptive model update, similar past cases, error in neighborhood, process data.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Decision Support Systems ; Expert Systems ; Formal Methods ; Health Information Systems ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Planning and Scheduling ; Simulation and Modeling ; Symbolic Systems

Abstract: When new data are obtained or simply when time goes by, the prediction accuracy of models in use may decrease. However, the question is when prediction accuracy has dropped to a level where the model can be considered out of date and in need of updating. This article describes a method that was developed for detecting the need for a model update. The method is applied in the steel industry, and the model whose need of updating is under study is a regression model developed to model the yield strength of steel plates. It is used to plan process settings in steel plate product manufacturing. To decide on the need for updating, information from similar past cases was utilized by introducing a limit called an exception limit. The limit was used to indicate when a new observation was from an area of the model input space where the prediction errors of the model have been too high. Moreover, an additional limit was formed to indicate when too many exceedings of the exception limit have occ urred within a certain time scale. These two limits were then used to decide when to update the model. (More)

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Paper citation in several formats:
Koskimäki (née Junno), H.; Juutilainen, I.; Laurinen, P. and Röning, J. (2007). DETECTION OF THE NEED FOR A MODEL UPDATE IN STEEL MANUFACTURING. 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 55-59. DOI: 10.5220/0001639500550059

@conference{icinco07,
author={Heli {Koskimäki (née Junno)}. and Ilmari Juutilainen. and Perttu Laurinen. and Juha Röning.},
title={DETECTION OF THE NEED FOR A MODEL UPDATE IN STEEL MANUFACTURING},
booktitle={Proceedings of the Fourth International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2007},
pages={55-59},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001639500550059},
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 - DETECTION OF THE NEED FOR A MODEL UPDATE IN STEEL MANUFACTURING
SN - 978-972-8865-82-5
IS - 2184-2809
AU - Koskimäki (née Junno), H.
AU - Juutilainen, I.
AU - Laurinen, P.
AU - Röning, J.
PY - 2007
SP - 55
EP - 59
DO - 10.5220/0001639500550059
PB - SciTePress