Problem Decoupling and Optimization of Aeroengine Life Cycle Maintenance Decision

Abstract

Reasonable life cycle maintenance decision of aeroengine, determining the aeroengine maintenance interval and maintenance workscope, can effectively reduce aeroengine maintenance costs. To achieve this, an optimization model of maintenance decision of aeroengine life cycle is established, taking the lowest total maintenance cost in the life cycle as the optimization objective, and using the aeroengine life cycle maintenance interval and maintenance workscope as decision variables. In order to reduce the size of the model’s solution space, the maintenance interval and the maintenance workscope are decoupled, and the optimal maintenance strategy to determine the maintenance workscope is proposed. Subsequently, particle swarm optimization algorithm is used to search the global optimal solution of the model. Finally, the effectiveness of the model is evaluated according to relevant numerical experiments and real aeroengine data. The results show that a better solution can be obtained in a short time for problems within 30 life limited parts, 28 modules and 90000 flight cycles.