舰炮供弹系统故障诊断知识本体建模研究  

Research on Ontology-based Knowledge Modeling for Gun Feeding System Fault Diagnosis

作　　者：彭亮[1] 岳冬梅[2] 石晨光[2] 赵翀[1] 孙文州[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》2014年第11期128-131,共4页Ship Electronic Engineering

摘　　要：针对舰炮供弹系统故障频发,故障诊断知识激增,传统诊断难度增大的问题,在对供弹系统故障诊断知识结构和语义特点分析的基础上,提出了一种基于本体的舰炮供弹系统故障诊断知识建模方法和表示模型。构建了包含供弹系统故障源、故障现象、参数指标、故障原因及排故措施五要素,由决策树连接的供弹系统故障知识本体。并应用推理机Pellet对模型进行一致性检验。实例验证表明,该本体模型不仅表述直观、效率高,而且利于知识的共享和扩充。Against the main problem of a great range of gun feeding system fault,the increasing knowledge of fault diagnosis and the more difficult to use traditional fault diagnosis,this paper studied knowledge structure and semantic properties for gun feeding system fault diagnosis.A kind of modeling method and fault knowledge representation was proposed based on ontology,which was working for gun feeding system.The system included fault units,fault phenomenon,parameter indexes,fault causes and control measures,connected by decision tree.The knowledge was proved to be consistent by Protégéand Pellet.The case study showed that the ontology can not only be intuitive and efficient but also useful in knowledge reusing and extending.

关 键 词：舰炮供弹系统 本体 PROTÉGÉ 故障诊断 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程]