Exploiting independence in a decentralised and incremental approach of diagnosis

Alban Grastien 1 Marie-Odile Cordier 2
2 DREAM - Diagnosing, Recommending Actions and Modelling
Inria Rennes – Bretagne Atlantique , IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE
Abstract : It is well-known that the size of the model is a bottleneck when using model-based approaches to diagnose complex systems. To answer this problem, decentralised/distributed approaches have been proposed. Another problem, which is far less considered, is the size of the diagnosis itself. However, it can be huge enough, especially in the case of on-line monitoring and when dealing with uncertain observations. We define two independence properties (state and transition-independence) and show their relevance to get a tractable representation of diagnosis in the context of both decentralised and incremental approaches. To illustrate the impact of these properties on the diagnosis size, experimental results on a toy example are given.
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Conference papers
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https://hal.inria.fr/inria-00110584
Contributor : Alban Grastien <>
Submitted on : Tuesday, October 31, 2006 - 12:59:53 AM
Last modification on : Thursday, November 15, 2018 - 11:57:04 AM
Long-term archiving on : Tuesday, April 6, 2010 - 9:19:02 PM

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  • HAL Id : inria-00110584, version 1

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Alban Grastien, Marie-Odile Cordier. Exploiting independence in a decentralised and incremental approach of diagnosis. IJCAI 07, Jan 2007, Hyderabad. ⟨inria-00110584⟩

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