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一种新的模拟电路故障诊断方法研究
引用本文:邱世卉. 一种新的模拟电路故障诊断方法研究[J]. 科学技术与工程, 2012, 12(30): 8042-8046
作者姓名:邱世卉
作者单位:成都工业学院
摘    要:
针对传统模拟电路检测方法难以发现器件缺陷的问题,提出了一种基于小波分析与人工神经网络的故障检测方法,选取典型滤波器电路。使用MATLAB进行仿真。仿真结果表明,此方法能够有效地识别故障器件,且诊断率高。

关 键 词:人工神经网络  小波分析  模拟电路  故障诊断
收稿时间:2012-06-13
修稿时间:2012-07-04

Analog Circuit Fault Diagnosis Based on Artificial Neural Network
shihui qiu. Analog Circuit Fault Diagnosis Based on Artificial Neural Network[J]. Science Technology and Engineering, 2012, 12(30): 8042-8046
Authors:shihui qiu
Affiliation:QIU Shi-hui(Electrical and Electronic Engineering Department;Chengdu Institute of Technology,Chengdu,611730,P.R.China)
Abstract:
The traditional method of analog circuit is difficult to find device defects.So this paper presents a fault detection method based on Artificial Neural Network(ANN) and Wavelet Analysis, select a typical filter circuit simulation using MATLAB. Simulation results show that this method can effectively identify the fault devices, and diagnostic rate.
Keywords:Artificial Neural Network(ANN)   Wavelet Analysis   analog circuit   fault diagnosis
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