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为提高装备维护水平,立足于某型潜用火控雷达,着眼于海军装备故障诊断现状,设计了一种基于多Agent的智能故障诊断系统总体结构,诊断系统能根据设备的结构变化进行动态调整,通过知识库和诊断推理机的分离、诊断Agent的动态生成和管理等技术,使该智能故障诊断系统能方便地应用到其它装备。以BDI结构模型为基础,从基于实例的推理(CBR)、产生式诊断系统和神经网络诊断系统三个方面实现了诊断Agent的诊断功能,可最终将故障定位到可更换的元器件。
In order to improve the level of equipment maintenance, aiming at the status quo of fault diagnosis of naval equipment, a kind of intelligent fault diagnosis system based on multi-agent is designed based on a type of latent fire control radar. The diagnostic system can be dynamically adjusted according to the structural changes of equipment , Through the separation of knowledge base and diagnostic reasoning machine, the dynamic generation and management of diagnosis agent technology, the intelligent fault diagnosis system can be easily applied to other equipment. Based on the BDI structure model, the diagnosis function of the diagnosis agent is realized from the three aspects of case-based reasoning (CBR), production-based diagnosis system and neural network diagnosis system, and finally the fault can be located to the replaceable components and parts.