Formalisation of a new prognosis model for supporting proactive maintenance implementation on industrial system

Abstract : The importance of the maintenance function has increased because of its role in keeping and improving system availability and safety, as well as product quality. To support this role, the maintenance concept has undergone several major developments that have led to proactive considerations mainly based on a prognosis process, which normally allows selection of the best maintenance action to be carried out. This paper proposes the deployment and experimentation of a prognosis process within an e-maintenance architecture. The deployment follows a methodology based on the combination of both a probabilistic approach for modelling the degradation mechanism and of an event one for dynamical degradation monitoring. The feasibility and benefits of this new prognosis process is investigated with an experiment using a manufacturing TELMA (TELe-MAintenance) platform supporting the unwinding of metal bobbins.
Document type :
Journal articles
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-00149602
Contributor : Benoit Iung <>
Submitted on : Sunday, May 27, 2007 - 5:44:12 PM
Last modification on : Thursday, January 11, 2018 - 6:17:35 AM

Identifiers

Collections

Citation

Alexandre Muller, Marie-Christine Suhner, Benoît Iung. Formalisation of a new prognosis model for supporting proactive maintenance implementation on industrial system. Reliability Engineering and System Safety, Elsevier, 2008, 93 (2), pp.234-253. ⟨10.1016/j.ress.2006.12.004⟩. ⟨hal-00149602⟩

Share

Metrics

Record views

154