Condition-based maintenance for multi-component systems using importance measure and predictive information

International audienceThis paper presents a predictive condition-based maintenance strategy for multi-component systems whose structure mayimpact components deterioration process. To select components for preventive maintenance actions, a decision rule relyingon both structural importance measure of components and their predictive reliability that can be estimated at inspectiontimes is proposed. For corrective maintenance actions, an adaptive opportunistic maintenance decision rule taking intoaccount both the criticality level of components and logistic support constraints is introduced. Moreover, both economicand structure dependencies between components are studied and integrated in maintenance model. A 12-component systemis finally introduced to illustrate the use and the performance of the proposed predictive maintenance strategy. Indeed, theproposed strategy provides more flexibility in maintenance decision-making, hence leading to significant profits in terms ofmaintenance cost when compared to existing strategies