基于本体论与贝叶斯式网络的舰炮武器系统故障诊断方法研究  

Naval Gun Weapon System Fault Diagnosis Based on Ontologies and Bayesian Network

作　　者：孙文舟 岳冬梅[2] 彭亮[1] 

机构地区：[1]海军大连舰艇学院研究生管理大队,大连116018 [2]海军大连舰艇学院舰炮系,大连116018

出　　处：《舰船电子工程》2015年第7期161-164,共4页Ship Electronic Engineering

摘　　要：针对舰炮武器系统在故障诊断过程中存在不确定性以及新故障知识不易添加的问题,提出了一种将本体论与贝叶斯网络相结合故障诊断方法。利用本体的知识表示方法建立关于舰炮武器系统的本体模型,然后将此模型转化为贝叶斯网络模型,最后利用贝叶斯网络进行舰炮武器系统故障方面的不确定性推理。利用此方法可以有效解决舰炮武器系统复杂故障现象问题。Against the problem of nodeterminacy and new fault knowledge is not easy to add in the process of fault diagnosis,a new method is put forward by combining ontologies and bayesian network.The representation of ontology knowledge is used to built the ontology model about the naval gun weapon system.Then this model is converted into a bayesian network model.Finally the bayesian network is used for naval gun weapon system failure of uncertainty reasoning.This method can effectively solve the problem of complex naval gun weapon system fault phenomenon.

关 键 词：本体 贝叶斯网络 故障诊断 

分 类 号：E920[军事—军事装备学]