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CBR-ANN技术应用于飞机武器故障诊断系统的研究
引用本文:张德军,顾占波. CBR-ANN技术应用于飞机武器故障诊断系统的研究[J]. 机电产品开发与创新, 2011, 24(4): 15-16. DOI: 10.3969/j.issn.1002-6673.2011.04.006
作者姓名:张德军  顾占波
作者单位:空军第一航空学院,河南信阳,464000
摘    要:针对现役飞机军械维护工作中存在故障案例记录和整理不足、故障诊断及排除效率低等现状,提出将人工智能中的基于案例推理技术(CBR)与人工神经网络技术(ANN)相结合应用于飞机武器故障诊断,建立故障诊断系统,该系统的应用和完善有利于提高飞机武器系统作战能力.

关 键 词:武器系统  故降诊断  神经网络

Study of CBR-ANN Used on Aerial Armament Fault Diagnosis System
ZHANG De-Jun,GU Zhan-Bo. Study of CBR-ANN Used on Aerial Armament Fault Diagnosis System[J]. Development & Innovation of Machinery & Electrical Products, 2011, 24(4): 15-16. DOI: 10.3969/j.issn.1002-6673.2011.04.006
Authors:ZHANG De-Jun  GU Zhan-Bo
Affiliation:ZHANG De-Jun,GU Zhan-Bo(The First Aeronautical College of Air Force,Xinyang Henan 464000,China)
Abstract:Aimed on shortage of record the aerial armament maintenance cases and the fault can't be diagnosed and removed quickly.The artificial intelligent technology based on case-based reasoning-technology and artificial neural network technology was proposed to built the fault diagnosis system.The application and imporvement of the system is beneficial for improve the battle effectiveness.
Keywords:armament system  fault diagnosis  neural work  
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