基于贝叶斯网络的损伤定位研究  

The Damage Reason Location Based on Bayesian Networks

作　　者：王润生[1] 贾希胜[1] 王卫国[1] 王润泉[1] 

机构地区：[1]军械工程学院,河北石家庄050003

出　　处：《兵工学报》2006年第4期726-730,共5页Acta Armamentarii

摘　　要：采用适当的人工智能技术进行智能损伤定位研究,是提高损伤评估准确性和效率的重要途径。文中阐述了利用贝叶斯网络进行损伤定位研究的必要性,进行了基于贝叶斯网络的损伤定位研究和案例分析。研究表明,利用贝叶斯网络进行损伤定位时,可以充分利用有关装备的损伤信息,提高定位速度,加快整个评估进程,提高评估效率;且利用贝叶斯网络可以进行双向推理,适于解决装备损伤评估领域的问题。For improving the efficiency and accuracy of damage assessment, it is imperative to carry out the research on intelligence damage location with proper AI technology. Bayesian networks, as one of AI technology, was adopted. The damage location based on Bayesian network was studied and a case was analyzed. It is concluded that the efficiency and accuracy of damage assessment can be improved with Bayesian network since it can use as much damage information as possible to locate the damage reason. Also, it is more suitable to apply Bayesian network to deal with the problem of damage assessment because the bidirectional reasoning can be done with it.

关 键 词：系统评估与可行性分析 战场抢修 损伤评估 损伤定位 贝叶斯网络 

分 类 号：E92[军事—军事装备学]