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作 者:聂贻韬 高心军 Nie Yitao;Gao Xinjun(Marinre Equipment Project Management Center,Beijin 100071,China;Beijing Institute of infinite electric measurement,Beijin 100071,China)
机构地区:[1]海装装备项目管理中心,北京100071 [2]北京无线电测量研究所,北京100071
出 处:《船电技术》2021年第10期41-44,共4页Marine Electric & Electronic Engineering
摘 要:本文运用马尔可夫过程理论,对武器装备使用状态建立了马氏链模型,分别以装备长期稳定后出现有故障无备件的概率和稳态情形时处在正常工作状态的概率,作为指标来评价备件方案和使用可用度。该方法为科学合理地确定备件池的备件种类和数量、优化备件申领时间等提供决策支持。A Markov chain model for the state of radar system is established based on the Markov process theory,in which the probability of fault and no spare parts after long-term stability of equipment and the probability of normal working state under steady-state conditions being taking as the indice to evaluate the spare parts scheme and operational availability.This method can provides decision supports for scientifically and rationally determining the types and quantities of the spare parts in inventory,as well as for optimizing the requisition time for spare parts.
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