基于贝叶斯网络的装备战场损伤评估模型

为了解决不完全信息情况下的装备战场损伤评估问题，采用计算机仿真的方法，研究某型号火炮各零部件的损伤情况。分析了装备零部件战损的相关性；设计仿真方案获取大量装备战损数据，通过数据统计的方法，建立了各零部件损伤之间的相关关系；利用贝叶斯网络的方法定量表达这种相关性，建立了用于辅助装备战损评估过程的贝叶斯网络；根据战场环境想定，分析了贝叶斯网络的特点，并结合实例演示了利用贝叶斯网络进行装备战损评估的过程。

The Assessment Model of Armament Battlefield Damage Based on Bayesian Network

The battlefield damage of the components in an artillery was researched using computer simulation in order to solve the assessing problem of battlefield damage without complete information. The correlation of component damage was analyzed, lots of data were obtained through simulation, and the correlation of each component was built using a statistical method. The correlation was expressed quantitatively using Bayesian network, and the Bayesian network was built in order to assist an assessment person to assess the battlefield damage. The properties of the network were analyzed based on battlefield hypothesis, and the assessment process was demonstrated using Bayesian network.