现代电子技术2012，Vol.35Issue(13)：183-186,4.
基于小波神经网络和相位差的模拟电路故障诊断
Wavelet neural network and phase difference based diagnosis of analog circuit faults
郭富强1
作者信息
- 1. 陕西广播电视大学督导与评估中心,陕西西安 710068
- 折叠
摘要
Abstract
A method of fault diagnosis based phase difference is put forward in this paper to eliminate the noise existing in analog circuits. The fault dictionary is established through feature extraction of phase difference and amplitude difference under the normal mode and fault mode. The wavelet neural network is adopted for modelling of fault circuits. Based on the characteristics that the network learning convergence is fast and the input of the network is not too sensitive, the fault diagnosis is realized. The example proves that this method can not only achieve accurate diagnosis, but also is very suitable for actual analog circuits.关键词
模拟电路/相位差/小波神经网络/故障诊断Key words
analog circuit/phase difference/ wavelet neural network/ fault diagnosis分类
信息技术与安全科学引用本文复制引用
郭富强..基于小波神经网络和相位差的模拟电路故障诊断[J].现代电子技术,2012,35(13):183-186,4.
