首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于专家系统与人工神经网络集成的航姿系统故障诊断
引用本文:王锋,孙秀霞.基于专家系统与人工神经网络集成的航姿系统故障诊断[J].空军工程大学学报,2005,6(1):17-19.
作者姓名:王锋  孙秀霞
作者单位:空军工程大学工程学院 陕西西安710038 (王锋),空军工程大学工程学院 陕西西安710038(孙秀霞)
摘    要:应用专家系统与人工神经网络的相关理论对某型飞机航姿系统的故障诊断问题进行了深入的研究,建立了基于专家系统与人工神经网络的集成式专家故障诊断系统,并利用该专家系统实现了某型航姿系统的故障诊断。应用结果表明:整个网络数据误差在训练10次时达到0.1,在训练829次时达到0.01,可以准确识别故障。

关 键 词:专家系统  人工神经网络  航姿系统  故障诊断
文章编号:1009-3516(2005)01-0017-03
修稿时间:2004年6月11日

Integrated navigation Attitude System Failure Diagnosis Based on Expert System and Artificial Neural Network
WANG Feng,SUN Xiu-xia.Integrated navigation Attitude System Failure Diagnosis Based on Expert System and Artificial Neural Network[J].Journal of Air Force Engineering University(Natural Science Edition),2005,6(1):17-19.
Authors:WANG Feng  SUN Xiu-xia
Abstract:Interrelated theories of expert system and artificial neural network are applied to the thorough study of navigation attitude system failure diagnosis problem, and an integrated failure diagnosis expert system is established based on expert system and artificial neural network. By using this integrated failure diagnosis expert system, the failure diagnosis of a navigation attitude system is realized. The result shows that the neural network data error is 0.1 when training 10 times and 0.01when training 829 times which means an accurate identification of failure.
Keywords:expert system  artificial neural network  navigation attitude system  failure diagnosis
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《空军工程大学学报》浏览原始摘要信息
点击此处可从《空军工程大学学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号