武器系统预防性维修间隔期的多目标决策研究

为解决武器系统故障率难以用时间为自变量进行表达的问题，鉴于武器系统的故障与射弹量密切相关，以间隔射弹量确定预防性维修的时机在实际中更易于操作，且间隔射弹量数据易于统计，在利用现场采集故障数据的基础上，建立了以射弹量为自变量描述武器系统故障率的故障率模型，并利用该故障率模型对使用可用度和维修费用这两个重要目标进行了解析表达。采用多目标粒子群算法，针对某型武器系统，以使用可用度和维修费用为优化目标，进行优化决策，得到了符合要求的满意解。

Multi-objective Decision of Preventive Maintenance Intervals of Weapon Systems

To solve the problem of that the failure rate of the weapon system is difficult to be described with time as an independent variable, a model is established by using the amount of intervally fired projectiles as the independent variable to describe the failure rate of the weapon system. Since the failures of weapon systems are closely related to the the amount of intervally fired projectiles, the preventive maintenance opportunity determined by the amount of intervally fired projectiles is easy to operate in practice, and the statistical data of the amount of intervally fired projectiles are retained easily. Based on the failure data of a weapon system, Ao (Operational availability) and EMC (Expected maintenance cost), which are two important objectives, are analytically expressed by the proposed failure rate model. For these two objectives, the optimized decision is made with MOPSO, and the satisfactory solutions meeting the requirements are obtained.