基于贝叶斯网络的声呐系统战场损伤评估及修复模型

The Model for Damage Assessment and Repair of the Sonar System in Battlefield Based on Bayesian Networks

为了解决战场环境下的声呐系统损伤评估及修复(SSBDAR)问题,本文研究了战场损伤评估及修复模型。针对舰艇声呐系统战场损伤评估的因果推理特性,建立了基于贝叶斯网络的战场损伤评估模型,提出了基于贝叶斯网络的评估流程,给出了基于贝叶斯网络的评估决断算法。该模型利用贝叶斯网络对各评估修复节点进行分析,能够解决损伤信息不确定性,而且充分利用舰艇声呐系统各节点的损伤信息,提高了模型评估及修复效率,是解决舰艇声呐系统战场损伤评估及修复问题的一个有效途径。

This paper proposes a model in order to solve the problem of Sonar System Battlefield Damage Assessment and Repair （SSBDAR） in battlefields. According to causal reasoning of sonar system for warships, a battlefield damage evaluation model is developed based on Bayesian networks and the related evaluation procedure is put forward, as well as the related algorithm for decision-making is presented. With this model, each repair site is evaluated and the uncertainty of damage information is determined. This can make the process of evaluation and repair more efficient, and can be an effective way to handle such problems in the sonar system of warships.