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Maintenance Strategy for Multi-Component Systems Based on Structure and Reliability

Maintenance strategy becomes more complicated as system becoming more complex while higher availability and economic requirements are required. A maintenance strategy with combining corrective maintenance and preventive maintenance is proposed. An adaptive opportunistic maintenance decision rule considering both the criticality level of components and their deterioration threshold is introduced. A preventive decision rule based on both structural importance of components and their predictive reliability is presented. Both economic and structure dependencies between components are studied in the model. Moreover, a mean system maintenance cost model is introduced to Figure out the optimal decision parameters. Monte Carlo simulation is used for algorithm calculation. The numerical results show that the proposed strategy provides more advantages in maintenance decision-making, while reducing maintenance cost and system shut-down time, hence can raise system availability.