Armored vehicle battle damage assessment model based on Dynamic Bayesian Network

摘要：

　　For the battle damage assessment of armored vehicles on land battlefields, a damage evaluation model for armored vehicles based on dynamic Bayesian networks was proposed.According to the structural characteristics and related operational parts of the armored vehicles in the land battlefield,the hierarchy and weights were established on the system of functional classification, and a dynamic Bayesian network model was established.The Monte Carlo method was used to verify the model establishment.The damage probability was computed in the different absence ratio of data and the stability of the model was verified.The results show that the model is reliable and can provide a certain basis for the provisional decision-making on the land battlefield.

关键词： Battle damage assessment Armored Vehicle Dynamic Bayesian Network

作者: Qiu-yuan CHEN Zhen-gui HUANG Guo-yuan WU Xiang-yan LIU Qi-ran LI Zhi-hua CHEN

作者单位: School of Energy and Power Engineering, Nanjing University of Science and Technology, Nanjing, 21009 National Key Laboratory of Transient Physics, Nanjing University of Science and Technology, Nanjing,

会议类型: 国际会议

会议名称: 2018 International Conference on Defence Technology (2018国际防务技术会议)

会议地点: 北京

会议语种:英文

页码: 935-938

在线出版日期: 2018-10-21（万方平台首次上网日期，不代表论文的发表时间）