基于贝叶斯网络的自动装弹机维修决策  

Research on Maintenance Decision for Auto-loader Based on Bayesian Network

作　　者：王国辉[1] 焦庆龙 赵波[1] 

机构地区：[1]装甲兵工程学院,北京100072

出　　处：《火力与指挥控制》2015年第3期155-158,共4页Fire Control & Command Control

摘　　要：在分析贝叶斯网络的结构和特点的基础上,以自动装弹机的部件输弹机为例,构建了输弹机不旋转故障模式的贝叶斯网络模型,并对网络模型进行训练和学习,在计算网络模型相关参数的基础上进行维修决策分析,梳理出排除输弹机不旋转故障的一般性方法,为研究自动装弹机的维修决策提供参考。On the basis of analyzing the structure and characteristics of Bayesian Network, taking revolving ramming device of auto-loader as an example, in revolving ramming device in is constructed, the network model is trained and learned, the maintenance decision is analyzed on the basis of the related parameters is computed, it provides evidence for summarizing general methods of eliminating the breakdown function of non rotate mode of revolving ramming device,it provides a reference for research of making maintenance decision for auto-loader.

关 键 词：自动装弹机 贝叶斯网络 维修决策 

分 类 号：TJ303[兵器科学与技术—火炮、自动武器与弹药工程]