A predictive maintenance strategy based on mean residual life for systems subject to competing failures due to degradation and shocks

Inma T. Castro (1) , Khac Tuan Huynh (2) , Anne Barros (2) , Christophe Bérenguer (3)

1 Departamento de Matemáticas - Universidad de Extremadura
2 LM2S - Laboratoire Modélisation et Sûreté des Systèmes
3 GIPSA-SAIGA - GIPSA - Signal et Automatique pour la surveillance, le diagnostic et la biomécanique

In condition-based maintenance area, mean residual life function is recognized as a promising reliability indicator for maintenance decision-making. However, very few maintenance strategies based on the mean residual life have been developed. This paper therefore analyzes a predictive maintenance strategy based on the mean residual life given the degradation level collected periodically in different inspection times. This strategy is developed for systems which are subject to competing and dependent failures due to degradation and traumatic shocks. Numerical examples are given to illustrate the analytical results of the strategy.

Mots clés: Condition-based maintenance; Mean residual life; Stochastic processes; Degradation-threshold-shock model

Domaines: Autre; Automatique; Modélisation et simulation; Performance et fiabilité [cs.PF]; Probabilités [math.PR]

Inma T. Castro, Khac Tuan Huynh, Anne Barros, Christophe Bérenguer. A predictive maintenance strategy based on mean residual life for systems subject to competing failures due to degradation and shocks. ESREL 2012 - PSAM 2012 - the Annual European Safety and Reliability Conference and 11th International Probabilistic Safety Assessment and Management Conference, Jun 2012, Helsinki, Finland. pp.375-384. ⟨hal-00793756⟩