Predictive grouping maintenance strategy for complex structure systems using importance measure

Kim-Anh Nguyen (1) , Phuc Do Van (2) , Antoine Grall (1)

1 LM2S - Laboratoire Modélisation et Sûreté des Systèmes
2 CRAN - Centre de Recherche en Automatique de Nancy

The aim of this study is to propose a predictive grouping maintenance strategy for complex structure systems with gradually deteriorating units. The unit's conditions are inspected at regular time intervals. Preventive maintenance decision rule is mainly based on the group improvement importance measure defined as a ratio of the improvement ability on the system reliability of a group of several units divided by the total maintenance costs of the group. Economic dependencies as well as structure dependencies between units are also investigated. A numerical example of a complex structure of 11-unit system is finally introduced to illustrate the uses and the advantages of the proposed maintenance strategy.

Mots clés: Gamma processes; importance measure; economic dependencies; Multi-unit system; Predictive maintenance

Domaines: Automatique / Robotique

Kim-Anh Nguyen, Phuc Do Van, Antoine Grall. Predictive grouping maintenance strategy for complex structure systems using importance measure. International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, QR2MSE 2013, Jul 2013, Sichuan, China. IEEE Xplore, ⟨10.1109/QR2MSE.2013.6625650⟩. ⟨hal-00834644⟩