摘要
本文在传统诊断技术理论基础上,将BP神经网络方法应用到模拟电路故障诊断的故障诊断中,分析了带通滤波电路故障的BP网络及人工神经网络的故障诊断方法;利用PSPice仿真软件和MATLAB仿真软件对电路进行了故障诊断,对几种常见模拟电路的故障机理作了初步研究,给出了实验结果。
In this paper, based on the theory of traditional diagnosis technology, the BP neural network method is applied to the fault diagnosis of analog circuit fault diagnosis, and the fault diagnosis methods of BP network and artificial neural network with filter circuit fault are analyzed.Using PSPice simulation software and MATLAB simulation software, the circuit fault diagnosis is carried out. The fault mechanism of several common analog circuits is preliminarily studied. At last, the experimental results are given.
作者
王恒
唐孝国
郭俊亮
WANG Heng;TANG Xiaoguo;GUO Junliang(School of Information Engineering,Tongren Polytechnic College,Tongren Guizhou 554300,China)
出处
《智能计算机与应用》
2022年第7期185-190,201,共7页
Intelligent Computer and Applications
基金
铜仁市科学技术局基础科学研究项目(铜市科研(2020)118号)。
关键词
带通滤波电路
故障诊断方法
BP网络
band-pass filter circuit
fault diagnosis method
BP network