基于OWL本体和SWRL规则的导弹智能故障诊断研究

Research on intelligent fault diagnosis of missile based on OWL ontology and SWRL rules

摘要:

针对复杂航空装备诊断知识缺乏、诊断效率低和知识共享性差等问题,以某型红外弹为例,提出一种基于OWL本体和SWRL规则的导弹智能故障诊断方法。首先以导弹FMECA结果作为知识源,通过基于ATML语法的OWL逻辑描述语言建立导弹本体模型,完成故障模式和故障原因本体之间的映射；其次采用语义网络规则语言SWRL描述知识库规则,建立本体知识单元之间类、属性和实例的对应关系,最后通过Racer推理机对导弹知识库进行故障诊断推理,获取故障诊断优先级顺序。推理结果表明,该方法能够解决复杂航空装备专家诊断系统中的知识表示困难、缺乏自动语义推理、重用共享性差等问题,获得最优的故障诊断路径的同时减少了故障排查步骤,从而实现了故障原因的快速定位,提高了复杂航空装备专家诊断系统的诊断效率和可靠性。

Abstract:

Aiming at the problems of lack of diagnostic knowledge, low diagnostic efficiency and bad sharing of complicated aviation equipment, an example of infrared missile is taken and an intelligent fault diagnosis method of missiles based on OWL ontology and SWRL rules is put forward. Firstly, FMECA results of the missile are regarded as knowledge source. The ontology model of the missile is constructed by OWL description language based on ATML grammar, which is used to realize the mapping between fault modes and fault causes ontology. Then semantic network rule language SWRL is adapted to describe rules of knowledge base, which builds the relationship among class, property and instance. Finally, Racer inference engine is used for fault diagnosis and reasoning of knowledge base, and fault diagnosis priority is received. Reasoning results show that this method can solve the problems of difficulty of knowledge representation, lack of auto semantic reasoning, bad sharing and reuse of complicated aviation equipment effectively. The best path of fault diagnosis is received and the steps of fault check is reduced, which realize the quick positioning of fault causes and improve expert system diagnosis efficiency and reliability of complicated aviation equipment.