基于神经网络的电子设备故障诊断专家系统

对复杂的电子设备的故障进行快速准确的诊断和维护是一个急待解决的重要问题。在分析了单独应用专家系统和神经网络的优缺点的基础上,提出了一种集成式诊断专家系统模式,将神经网络与传统的专家系统进行有机结合。经实验证明,系统的推理效率明显提高,且具备良好的鲁棒性、启发性和透明性。由此可见,该集成方法对故障诊断十分有效。

Neural network based fault diagnosis expert system for electronic equipment

It's very important to make fault diagnosis for electronic equipment and repaire it quickly and accurately. On the basis of analyzing the advantages and disadvantages when expert system or neural network is applied separately to equipment fault diagnosis, the paper introduces an integrated fault diagnosis expert system which combines the neural network with traditional expert system organically. It is proved that the inference efficiency of the whole system is improved, and the system is robust, transparent and flexible. It is effective to fault diagnosis.