CAJ | 학술논문

文章巧妙运用文件操作，结合Matlab／Simulink对模拟电路进行仿真，可以使仿真次数无限多，并通过人工神经网络进行训练，可以使人工神经网络的训练样本无限多，达到较完善的故障诊断目的。最后，文章给出了仿真实例，实验证明该方法能较好的弥补其他方法在模拟电路诊断中的不足。
문장교묘운용문건조작，결합Matlab／Simulink대모의전로진행방진，가이사방진차수무한다，병통과인공신경망락진행훈련，가이사인공신경망락적훈련양본무한다，체도교완선적고장진단목적。최후，문장급출료방진실례，실험증명해방법능교호적미보기타방법재모의전로진단중적불족。
This paper presents a file operation method combined with Matlab/Simulink on analog circuit simulation, which can provide unlimited number of times of simulation. And with the help of artificial neural network training, it also provides unlinfited number of training samples in artificial neural network, which can achieve a weU-improved fault diagnosis performance. Finally, this paper lists multiple simulation examples. And the experiments show that this method can provide a good complement to other methods in analog circuit diagnosis.