摘要
提出了基于知识库的某型飞机平显故障诊断系统。文中给出系统总体结构模型和面向对象模型,介绍了规则推理、神经网络推理和模糊逻辑推理的特点,并提出了三者并行推理的方法,其优点在于能节省推理时间并且各模块之间可以相互学习提高诊断能力。最后给出了系统的功能和实现方法。
The fault diagnosis system of XX - aeroplane HUD based on knowledge base is given in this paper. It performs the structure of the system and the object - oriented model. Based on the characteristic of rule reasoning, neural net reasoning and fuzzy logic reasoning, the way of parallel reasoning is introduced. The parallel reasoning is able to cut down the reasoning time and improve the diagnosis ability by inter - study. This paper also describes the function and realization of this system at last.
出处
《航空计算技术》
2006年第4期74-77,共4页
Aeronautical Computing Technique
作者简介
吴卫玲(1974-),山东潍坊人,讲师,硕士,主要从事航空火控设备的教学与机载设备的测试与计量研究。