Knowledge management for modelling nuclear power plants control in incidental and accidental states

Pierre Millerat, Jean-Louis Ermine () and Mathias Chaillot
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Pierre Millerat: EDF R&D - EDF R&D - EDF - EDF
Jean-Louis Ermine: CEA - Commissariat à l'énergie atomique et aux énergies alternatives
Mathias Chaillot: LIST (CEA) - Laboratoire d'Intégration des Systèmes et des Technologies - DRT (CEA) - Direction de Recherche Technologique (CEA) - CEA - Commissariat à l'énergie atomique et aux énergies alternatives

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Abstract: The two main objectives of the project are: *) Knowledge capitalisation : to integrate the huge amount of knowledge accumulated by EDF during those last twenty years on safety, summarised in the APE (Approche Par Etats, State-oriented Approach), methodology which is an approach based on the continuous analysis of the plant state, not involving the plant history. *) Complexity management: to build a model of the plant control in incidental and accidental states enabling: 1) To understand the control actions related to the physics processes actually taking place in the plant 2) To explain every control task in relation with the process it controls 3) To put every control task in the general context of operator's activity Hence, the result of the project is a model (in fact several models), built according to a knowledge management methodology, describing several pertinent point of views on plant control, based on APE. This model fulfils the above requirements, and then can be used for training the operators to incidental and accidental situations. To facilitate the consultation of this model, hypermedia software has been implemented

Keywords: Nuclear domain; Nuclear Power Plant; Knowledge Management (search for similar items in EconPapers)
Date: 1996-07-09
Note: View the original document on HAL open archive server: https://hal.science/hal-00984420
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Published in Computational Engineering in Systems Applications, CESA'96 IMACS Multiconference, Jul 1996, Lille, France. pp.982-987

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