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军用飞机是一种复杂的可修系统,其瞬时可用度计算是装备综合保障领域研究的难点。本文构建了基于作战任务和飞机技术状态驱动的随机维修网络(SMTN),SMTN中各项活动的维修时间服从不同分布,定义了SMTN的矩母函数并求解系统维修度函数的数字特征,将得到的期望和方差分别代入不同分布形式函数进行验证,从而选定符合实际情况的SMTN的维修度函数,并对任务准备期内的军用飞机可用度进行仿真。在计算过程中基于蒙特卡罗技术设计了一种新方法,在提高计算效率的同时,可以较好地反映维修保障过程的逻辑性、拓扑性和随机性,仿真结果可以真实反映装备在任务准备期内瞬时可用度的波动规律。该方法可以广泛应用到各种复杂的可修系统,为装备的使用决策提供依据,为保障系统的保障效能评估提供量化指标,对于综合保障领域“动态”指标的研究有着一定探索价值。
Military aircraft is a complex and repairable system, and its instantaneous availability calculation is a difficult point in the field of equipment comprehensive support. In this paper, we construct a random maintenance network (SMTN) driven by combat missions and aircraft technology status. The maintenance time of each activity in SMTN obeys different distributions, defines the moment function of SMTN and solves the digital character of the system maintenance degree function, The expectation and variance of them are respectively substituted into the functions of different distribution forms for verification, so as to select the maintenance degree function of SMTN which is in line with the actual situation and simulate the availability of military aircraft during the mission preparation period. In the calculation process based on Monte Carlo technology designed a new method to improve the computational efficiency at the same time, can better reflect the logic of the maintenance support process, topology and randomness, the simulation results can truly reflect the equipment in the mission preparation Fluctuation of instantaneous availability during the period. The method can be widely applied to a variety of complex repairable systems and provides a basis for equipment usage decision-making. It can provide quantitative indexes for the guarantee of system performance evaluation, and has certain exploration value for the study of “dynamic ” index in the comprehensive support system.