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Contribution à une méthodologie de capitalisation des connaissances basée sur le raisonnement à partir de cas : Application au diagnostic dans une plateforme d'e-maintenance.

Abstract : Faced with the technological developments, the increasing complexity of the industrial plants and the processes dynamics as well as with organisational changes and staff mobility, maintenance managers want to formalise and capitalize the know and know-how of maintenance operators and experts. To deal with these factors, our objective is to provide a service of maintenance assistance that uses and capitalizes knowledge. Our work has been part of European project Proteus which goal was to develop a generic distributed platform of e-maintenance to integrate and to provide a set of different maintenance systems and applications. We specified four levels of maintenance applications associated each one with a set of decision help systems: equipment analysis, diagnosis and expertise, resource management and maintenance strategy management. These tools require an expertise which we propose to capitalize and preserve in a corporate enterprise memory. In order to create this memory and to develop our diagnostic and repair help system, we introduced a methodology based on the association of knowledge capitalization and knowledge intensive case based reasoning. The development of our system is based on knowledge modeling that consists of a representation model (domain ontology) and a problem solving model (case based reasoning). The suggested models use emerging technologies from the semantic Web which make possible the evolution of e-maintenance concept in a new concept of s-maintenance (semantic maintenance).
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Ivana Rasovska. Contribution à une méthodologie de capitalisation des connaissances basée sur le raisonnement à partir de cas : Application au diagnostic dans une plateforme d'e-maintenance.. Automatique / Robotique. Université de Franche-Comté, 2006. Français. ⟨tel-00257893⟩

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