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作 者:李万宝 萧耀友[1] 王振华[1] 姚玉林 Li Wanbao;Xiao Yaoyou;Wang Zhenhua;Yao Yulin(No.91515 Unit of PLA,Sanya 572016,China)
机构地区:[1]中国人民解放军91515部队,海南三亚572016
出 处:《兵工自动化》2022年第11期37-40,共4页Ordnance Industry Automation
摘 要:为实现可靠高效的战备作战保障,分析导弹技术准备流程中的不确定因素及其装备维修性成因,基于使用数据采用统计推论方法刻画不确定工序的随机维修分布。将维修性参数信息引入图示评审技术(graphical evaluation and review technique,GERT)随机网络逻辑计算过程,构建导弹技术准备流程的随机维修网络模型;采用GERT解析方法对某导弹技术准备流程时间进行求解,并通过调整部分维修性参数验证模型的灵敏度。仿真结果表明,该模型算法能为遂行导弹保障任务提供有力数据支撑。In order to achieve reliable and efficient combat readiness support,the uncertain factors in missile technical preparation process and the causes of equipment maintainability were analyzed,and the stochastic maintenance distribution of uncertain processes was described by statistical inference method based on usage data.The information of maintainability parameters is introduced into the logic calculation process of graphical evaluation and review technique(GERT)random network,and the random maintenance network model of missile technical preparation process is constructed.The GERT analytical method is used to solve the time of the technical preparation process of certain type missile,and the sensitivity of the model is verified by adjusting some maintainability parameters.The simulation results show that the model and algorithm can provide strong data support for missile support tasks.
关 键 词:导弹技术准备 维修性参数 随机维修网络 图示评审技术
分 类 号:TJ760.7[兵器科学与技术—武器系统与运用工程]
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