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An Approach to the Drone Fleet Survivability Assessment Based on a Stochastic Continues-Time Model

机译:基于随机延续时间模型的无人机舰队存活性评估的方法

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摘要

An approach and the algorithm to the drone fleet survivability assessment based on a stochastic continues-time model are proposed. The input data are the number of the drones, the drone fleet redundancy coefficient, the drone stability and restoration rate, the limit deviation from the norms of the drone fleet recovery, the drone fleet operational availability coefficient, the probability of the drone failure-free operation, time needed for performing the required tasks by the drone fleet. The ways for improving the recoverable drone fleet survivability taking into account amazing factors of system accident are suggested. Dependencies of the drone fleet survivability rate both on the drone stability and the number of the drones are analysed.
机译:提出了一种基于随机延续时间模型的无人机舰队存活性评估的方法和算法。输入数据是无人机的数量,无人机队冗余系数,无人机稳定性和恢复速率,极限偏离偏离无人机舰队恢复的规范,无人机舰队运营可用性系数,无人机失败的概率失效操作,由无人机舰队执行所需任务所需的时间。建议提出了改善可恢复的无人机舰队生存能力的方法,以考虑到系统事故的惊人因素。分析了无人机稳定性的无人机队伍存活率率的依赖性和无人机的数量。

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