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Communication Dans Un Congrès Année : 2001

System approach-based Bayesian Network to aid maintenance of manufacturing process

Résumé

The prospective work reported here explores a new methodology to develop Bayesian Network-based diagnosis and prognosis aids for manufacturing processes. This work is justified with the complex systems by the need of controlling and maintaining in dynamical way the global system performances in order to optimise the enterprise strategies. The added value of our methodology is to formalise the maintenance aid models from a priori knowledge both on the system functioning and malfunctioning by means of Bayesian Networks. The networks are built on adaptability principles and integrate uncertainties on the relationships between causes and effects. The feasibility of this methodology is tested in a manufacturing context with the maintenance aids on a lathe machine.

Domaines

Automatique
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Dates et versions

hal-00128449 , version 1 (01-02-2007)

Identifiants

  • HAL Id : hal-00128449 , version 1

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Philippe Weber, Marie-Christine Suhner, Benoît Iung. System approach-based Bayesian Network to aid maintenance of manufacturing process. Oct 2001, Berlin, Germany. pp.CDROM. ⟨hal-00128449⟩
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