摘要
本文为解决战场抢修的动态顺序优化问题,达到以最短时间完成抢修装备的目标,应用贝叶斯网络技术,对装备损伤抢修顺序问题进行了研究,通过影响因素及其关联关系分析,建立了贝叶斯网络优化模型,采用动态计算预期抢修时间(ETR)的方法,给出了以时间最少为目标的抢修优化顺序决策模型,实现了战场抢修顺序的动态优化目的。通过某车辆的案例分析,对所提供的方法进行了例证。利用基于贝叶斯网络的战场抢修顺序优化模型,可以对抢修顺序进行优化决策,提高抢修效率。
The object of this paper is to get the least time in equipment BDAR （battlefield damage assessment and repair ）. By analyzing the failure causes and their relationships, the problems in equipment B DAR are investigated; a Bayesian network for solving the priority order of troubleshooting is established. A model of determination of the BDAR is given by calculated the dynamic expected time of the repair sequence （ETR）. The method used in this paper is demonstrated by an automobile case. The efficiency of BDR can be increased by the optimized model of determination of the BDAR sequence based on Bayesian network.
出处
《航天控制》
CSCD
北大核心
2005年第6期72-75,80,共5页
Aerospace Control
