ADAPTATION BASED ON KNOWLEDGE MODELS FOR DIAGNOSTIC SYSTEMS USING CASE-BASE REASONING

Brigitte Chebel Morello, Mohamed Karim Haouchine, Noureddine Zerhouni

Abstract

The adaptation phase is a key problem in the design of Case-Based Reasoning (CBR) systems. In most cases, adaptation methods are application-specific. Our challenge in this work is to make a general adaptation method for the field of industrial diagnostics. This paper is a contribution to fill this gap in the field of fault diagnostic and repair assistance of equipment. Our adaptation algorithm relies on hierarchy descriptors, an implied context model and dependencies between problems and solutions of the source cases. In addition, we note that the first retrieved case is not necessarily the most adaptable case, and to take into account this report we propose in our diagnostic problem an adaptation-guided retrieval step based on a similarity measure associated with an adaptation measure. These two measures allow selecting the most adaptable case among the retrieved cases. The two retrieval and adaptation phases are applied on real industrial system called SISTRE (Supervised industrial system of Transfer of pallets).

References

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Paper Citation


in Harvard Style

Chebel Morello B., Karim Haouchine M. and Zerhouni N. (2011). ADAPTATION BASED ON KNOWLEDGE MODELS FOR DIAGNOSTIC SYSTEMS USING CASE-BASE REASONING . In Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2011) ISBN 978-989-8425-81-2, pages 223-229. DOI: 10.5220/0003666602230229


in Bibtex Style

@conference{kmis11,
author={Brigitte Chebel Morello and Mohamed Karim Haouchine and Noureddine Zerhouni},
title={ADAPTATION BASED ON KNOWLEDGE MODELS FOR DIAGNOSTIC SYSTEMS USING CASE-BASE REASONING},
booktitle={Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2011)},
year={2011},
pages={223-229},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003666602230229},
isbn={978-989-8425-81-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2011)
TI - ADAPTATION BASED ON KNOWLEDGE MODELS FOR DIAGNOSTIC SYSTEMS USING CASE-BASE REASONING
SN - 978-989-8425-81-2
AU - Chebel Morello B.
AU - Karim Haouchine M.
AU - Zerhouni N.
PY - 2011
SP - 223
EP - 229
DO - 10.5220/0003666602230229