某型机载设备故障诊断专家系统知识库的设计  

Design of Expert System Knowledge Base for Certain Airborne Equipment

作　　者：王玉刚 彭海军 王思臣 

机构地区：[1]海军航空工学院青岛校区,山东青岛

出　　处：《数据挖掘》2016年第1期37-41,共5页Hans Journal of Data Mining

摘　　要：军用飞机装备日趋复杂,其外场维护保障工作难度加大。为及时发现故障,确保飞机完好,以实现正常作战训练工作,本文简单介绍了某型机载设备故障专家系统的基本组成,通过实例详细论述了知识库的构建和知识规则的表示。同时为保证专家系统知识库的一致性和完整性,首先对规则进行了分类,并据此分类对异常规则进行了检测及处理。并通过与维护人员交互处理,使得得到的推理结论更加合理和准确。The equipment of military aircraft becomes complex gradually, and field work becomes harder. In order to timely detect fault, ensure the aircraft intact and achieve a normal combat training work, this paper introduces the basic components of a certain type of airborne equipment, and the expert system is discussed in detail by showing examples and knowledge database to build the knowledge base rules. At the same time, to ensure the consistency and integrity of the expert system knowledge base, rules are classified first, and then abnormal rules are detected and treated. And through the interactive processing with maintenance personnel, the conclusions become more reasonable and accurate.

关 键 词：专家系统 知识库 故障诊断 规则 

分 类 号：TP2[自动化与计算机技术—检测技术与自动化装置]