Maintenance plays now a critical role in manufacturing for achieving important cost savings and competitive advantage while preserving product conditions. It suggests moving from conventional maintenance practices to predictive strategy. Indeed the maintenance action has to be done at the right time according the component Remaining Useful Life (RUL) assessed by a prognosis process. The accuracy of the RUL is mainly depending on the relevance of the component degradation model used for prediction. In that way, this paper aims at discussing an efficient degradation model taking into account the operational conditions, the health monitoring and the maintenance actions. This model is based on discrete states associated with the degradation levels, and on a cumulative function modelling the transition time between successive states. The model is implemented by means of Stochastic Activity Networks (SAN). The feasibility and added value of such degradation models for prognosis is then highlighted through experimentations made on manufacturing TELMA platform.
To cite this version:Maxime Monnin, Olivier Sénéchal, Benoît Iung, Pascal Lelan, Michel Garrivet. A unified failure/damage approach to battle damage regeneration : application to ground military systems. In- Abstract: Availability is a determining factor in systems characterization. Because they must act in a hostile environment, military systems are particularly vulnerable in situations of non-availability. Military weapon systems availability can be affected by system failures or by damage to the system, and in either case, system regeneration is needed. However, very few availability studies take battlefield damage into account in their more general dependability studies. This paper takes a look at the issues and trends related to the study of battlefield damage, specifically those related to the modeling of such damage and it proposes a unified approach to regeneration engineering that exploits the parallelism between failure and damage in order to manage system failure and damage to the system.
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