Séminaires des doctorants - Nicola ESPOSITO14h00 | POLYTECH ANGERS |Salle E14 | 62, avenue Notre-Dame du Lac | ANGERS

Le 15 septembre 2022

Subject : Improve predictive maintenance models with imperfect degradation information

NICOLA ESPOSITO^1-2, BRUNO CASTANIER¹, and MASSIMILIANO GIORGIO²

¹Université d’Angers/Laris, Angers, France.
E-mail:nicola.esposito @ etud.univ-angers.fr (nicola.esposito @ etud.univ-angers.fr), bruno.castanier @ univ-angers.fr (bruno.castanier @ univ-angers.fr)

²Università degli Studi di Napoli Federico II, Napoli, Italia.
E-mail: massimiliano.giorgio @ unina.it (massimiliano.giorgio @ unina.it)

Abstract

Traditionally in industrial applications, maintenance is seen as a capacity consuming activity. Maintenance planning hence results in a compromise between minimizing disruption of operation and guaranteeing reliable performance while minimizing cost. In this framework, it may be COMMON FOR maintenance decision-making to interfere with operational planning (for example, by retiring out of service a system for an inspection or a preventive repair at a time when there might have been a strong commercial incentive for it to be operational). However, in the search for performance, developing a framework in which operational constraints are integrated directly into maintenance decision-making has been a subject of interest among researchers and practitioners interested in maintenance planning. In fact, in recent years, advanced strategies that strive towards this goal, such as prescriptive maintenance, have gained increased attention in the literature [1], [2].

Although no formal and widely accepted definition of prescriptive maintenance can be found in the literature, it is clear that a prescriptive policy goes beyond the mere prediction of failures, by also providing prescriptions that may include classical actions (such as inspect, repair, replace, etc...) as well as suggestions about changing some operating conditions of the system. These prescriptions will also impact the future evolution of its degradation and are determined by taking into account all functionalities of the system.

References

[1]  Longhitano, P., Tidriri, K., Bérenguer, C., Echard, B. (2021). A closed-loop prescriptive maintenance approach for an usage dependent deteriorating item – application to a critical component. Proceedings of the 31st European Safety and Reliability Conference (ESREL 2021). Research Publishing, Singapore.

[2]  Esposito, N., Castanier, B., Giorgio, M. (2022). Prescriptive block replacement policy for production degrading systems. MIM 2022, Nantes, France.