摘要
在分析专家系统和神经网络单独应用于设备故障诊断的优缺点基础上 ,建立了基于神经网络的机载航炮故障诊断专家系统。实践证明 ,网络的学习时间显著缩短 ,整个系统推理效率明显提高 ,验证了集成式专家系统的诊断效果比传统的专家系统或神经网络更全面。
On the basis of analyzing the advantages and disadvantage when expert system or neural network is applied to equipment fault diagnosis separately, an expert system based on neural network for aircraft gun fault diagnosis is set up. It is proved that the learning time of network is shortened apparently, the inference efficiency of whole system is improved, and the diagnosis effect of integrated expert system is more comprehensive, accurate and quicker than that of traditional expert system or neural network.
出处
《电光与控制》
2002年第4期59-62,共4页
Electronics Optics & Control
关键词
神经网络
机载航炮
故障诊断
专家系统
aircraft gun
fault diagnosis
expert system
artificial neural network
