现代电子技术Issue(6)：36-38,3.
基于小波神经网络的模拟电路故障诊断方法研究
Method of Analog Circuit Fault Diagnosis based on wavelet neural network
周晶晶 1吴文全 1许炎义 1孙金明1
作者信息
- 1. 海军工程大学 电子工程学院，湖北 武汉 430033
- 折叠
摘要
Abstract
Wavelet transform is a time⁃frequency analysis method,which has multi⁃resolution feature,is honoured as mathematical microscope,and is suitable for judging what type of fault the circuit status belongs to. In this paper,the analog cir⁃cuit fault diagnosis method based on wavelet neural network is used. Wavelet transform is adopted to extract the fault features of the sampling signal from amplitude⁃frequency response of the analog circuit. BP neural network is utilized to classify the feature vectors under various states and realize fault diagnosis of analog circuits. Simulation results of the circuit show that this scheme is feasible and has many powerful virtues,such as accurate fault detection and positioning.关键词
小波变换/模拟电路故障诊断/神经网络/故障特征提取Key words
wavelet transform/analog circuit fault diagnosis/neural network/fault feature extraction分类
信息技术与安全科学引用本文复制引用
周晶晶,吴文全,许炎义,孙金明..基于小波神经网络的模拟电路故障诊断方法研究[J].现代电子技术,2015,(6):36-38,3.
