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基于神经网络和专家系统的模拟电路智能故障诊断技术,一方面抑制了神经网络的错误输出,另一方面减少了专家系统的漏诊,并对一个实际的模拟电路进行了仿真研究。仿真中对输入数据进行模糊处理,并与神经网络和专家系统所得出的两个结果进行了综合,表明智能故障诊断大大提高了故障诊断的准确性。
The intelligent fault diagnosis technology based on neural network and expert system can not only suppress the error output of neural network but also reduce the misdiagnosis of expert system and simulate an actual analog circuit. In the simulation, the input data is obfuscated and integrated with the two results obtained by the neural network and expert system. It shows that the intelligent fault diagnosis greatly improves the accuracy of fault diagnosis.