面向战备完好性的航母航空保障系统维修策略优化模型OA
Maintenance Strategy Optimization Model of Aircraft Carrier Aviation Support System for Operational Readiness
针对航母航空保障系统任务间隔期的维修任务存在时间和小组数量有限的限制,建立一种对维修策略优化的仿真优化模型.基于遗传算法将维修任务最优分配给有限的维修人员,从而压缩解空间;通过蒙特卡洛(Monte Carlo,MC)仿真方法评估不同维修方案的系统可用度,确定可用度最高的维修方案.通过实例验证该模型的有效性,并分析维修小组技能熟练度对系统可用性的影响.实验结果表明:该模型对保障系统维修能力有显著的提升.
According to the characteristics of limited maintenance time and number of maintenance teams in the maintenance task of aircraft carrier aviation support system in the task interval,a simulation optimization model for optimizing maintenance strategy is established.Based on genetic algorithm,the maintenance task is optimally assigned to the limited maintenance personnel,so as to compress the solution space.The system availability under different maintenance schemes is evaluated by Monte Carlo(MC)simulation method,and the maintenance scheme with the highest availability is determined.The effectiveness of the model is verified by an example,and the influence of the skill proficiency of the maintenance team on the system availability is analyzed.The experimental results show that the model can significantly improve the maintenance capability of the support system.
朱兴动;由洪鹏;范加利
海军航空大学,山东 烟台 264000海军航空大学青岛校区,山东 青岛 266041海军航空大学青岛校区,山东 青岛 266041
军事科技
航母航空保障系统维修策略遗传算法MC仿真
aircraft carrier aviation support systemmaintenance strategygenetic algorithmMC simulation
《兵工自动化》 2026 (3)
1-6,6
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