计算机工程与应用Issue(21)：52-57,6.DOI:10.3778/j.issn.1002-8331.1311-0118
模拟电路故障诊断新方法
New method of analog circuits fault diagnosis
摘要
Abstract
This paper proposes a novel method of analog circuits fault diagnosis based on multi-wavelet neural network. It introduces the principle of multi-wavelet, analyzes the structure of multi-wavelet neural network and the approximation properties and the algorithm of multi-wavelet neural network. It uses multi-wavelet to deal with fault signal and extracts fault feature vector input to the neural network, thus diagnoses analog circuits fault. Since the multi-wavelet function is provided with a series of advantages such as continuous and symmetry as well as support set that is short and so on, using multi-wavelet neural network to analog circuits fault diagnosis is provided with advantages such as high accuracy and fast speed of diagnosis than the general wavelet neural network. It gives a simulation diagnosis example, and the effectiveness of this method is verified.关键词
模拟电路/故障诊断/故障特征向量/多小波变换/神经网络Key words
analog circuits/fault diagnosis/fault feature vector/multi-wavelet transfer/neural network分类
信息技术与安全科学引用本文复制引用
谢涛,何怡刚,李珩..模拟电路故障诊断新方法[J].计算机工程与应用,2015,(21):52-57,6.基金项目
国家杰出青年科学基金（No.50925727）；国家自然科学基金（No.60876022，No.61202462，No.61308001）；国家高技术研究发展计划（863）（No.2006AA04A104）；湖南科技大学校级课题（No.E51366）；湖南省科技计划项目（No.2008Gk2022）；广东省教育部产学研项目（No.2009B090300196）。 （）
