舰船电子工程2025，Vol.45Issue(3)：102-108,7.DOI:10.3969/j.issn.1672-9730.2025.03.022
基于贝叶斯网络的装甲车辆损伤分析模型研究
Research on Armored Vehicle Damage Analysis Model Based on Bayesian Network
叶培思 1白承森 2朱江2
作者信息
- 1. 中国人民解放军陆军指挥学院 南京 210045||中国人民解放军31626部队 广州 510800
- 2. 中国人民解放军陆军指挥学院 南京 210045
- 折叠
摘要
Abstract
Due to the complexity of tank structure and the uncertain and fuzzy battlefield damage information,it is difficult and inefficient to assess the battlefield damage of tank by traditional tools.This paper constructs a tank battlefield damage analysis model based on Bayesian networks.At the beginning,it sets up the model parameter by fuzzy evaluation from engineers.And then,it selects and quantifies the tank damage information from classic cases of battle,computer simulation test of tank damage,exercise training and daily maintenance activities.At last,the model is modified by parameter learning and simulated by Genie,the damage probability of different subsystems and key components can be deduced from the damage manifestations of the tank.The model can improve the accuracy and timeliness of tank battlefield damage analysis and support the decision-making for accurate tank battle-field repair.关键词
损伤树/贝叶斯网络/参数学习/损伤概率Key words
damage tree/Bayesian networks/parameter learning/damage probability分类
信息技术与安全科学引用本文复制引用
叶培思,白承森,朱江..基于贝叶斯网络的装甲车辆损伤分析模型研究[J].舰船电子工程,2025,45(3):102-108,7.
