航空电气设备故障诊断专家系统的知识处理  

THE KNOWLEDGE DISPOSAL OF FAULT DIAGNOSIS EXPERT SYSTEM OF AERONAUTICAL ELECTRICAL EQUIPMENTS

作　　者：汪伟[1] 刘金星[1] 李斌[1] 

机构地区：[1]空军第一航空学院,信阳464000

出　　处：《模式识别与人工智能》1997年第1期28-32,共5页Pattern Recognition and Artificial Intelligence

摘　　要：本文通过对某型飞机电气设备故障诊断知识的分析,提出了将其分为精确知识、不全面知识和模糊知识的处理方法,对它们在故障诊断专家系统中的表示和实现形式进行了讨论和研究.通过利用人工智能语言PROLOG编程运行,表明这种知识处理方法在表示能力、可理解性、可访问性、可扩充性方面都有较好的特性.该系统通过试用和实用,证明很有效.Based on the analysis of fault diagnosis knowledge of aeronautical electrical equipments, this article puts forward a disposal method which divides the fault diagnosis knowledge into exact knowledge and inadequate knowledge and fuzzy knowledge, discusses and studies the expression and realizing styles in the expert system of fault diagnosis in the mean time. By runing the programmes which are written according to the artificial intelligence language PROLOG, this paper makes clear the knowledge disposal method have a better feature in the expression ability, the understanding character, the accssing and extending character. It is proved in test and practice that this system is playing an important role in maintainence.

关 键 词：电气设备 故障诊断 专家系统 飞机 

分 类 号：V242[航空宇航科学与技术—飞行器设计]