Multi-Level Decision-Making for The Predictive Maintenance of k-out-of-n:F Deteriorating Systems
IEEE transactions on Reliability
94 – 117
Traditional maintenance decisions in the framework of condition-based maintenance applied to multi-component systems are performed either at system level or at component level. These decisions however cannot always assure the highest maintenance performances. To remedy this drawback, the present paper introduces a multi-level decision-making approach that combines both maintenance decisions at system level and component level. The effectiveness of such approach is investigated through a n-components deteriorating system with k-out-of-n:F structure and economic dependence. In fact, based on the degradation and failure model of the considered k-out-of-n:F system, 2 new opportunistic predictive maintenance strategies with different types of maintenance decision-making are proposed. In the first one, the decisions are relied only on the remaining useful lifetime of the components, while in the second one, they are based on both remaining useful lifetimes of the system and its components. The maintenance cost models of these strategies are developed on the basis of semi-regenerative theory, optimized and then compared with each other. The comparison results show that the multi-level decision-making approach allows to avoid more effectively inopportune interventions, to better take into account the interactions among components, and hence to provide more flexible and profitable predictive maintenance strategies for multi-component systems.