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、准确和迅速 Based on the analysis of the advantages and disadvantages of expert system and neural network applied to the fault diagnosis of equipment, an airborne gun fault diagnosis expert system based on neural network was established. Practice has proved that the learning time of the network is significantly shortened, and the efficiency of the whole system reasoning is obviously improved. It proves that the diagnostic effect of the integrated expert system is more comprehensive, accurate and rapid than the traditional expert system or neural network