Fault diagnosis using IDDT for digital circuit based on wavelet analysis and neural networks

doi:10.3778/j.issn.1002-8331.2010.01.063

Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (1): 211-214.DOI: 10.3778/j.issn.1002-8331.2010.01.063

• 工程与应用 • Previous Articles Next Articles

Fault diagnosis using IDDT for digital circuit based on wavelet analysis and neural networks

YU Chang-geng，LEI Jia

School of Engineering，Guilin University of Electronic Technology，Guilin，Guangxi 541004，China

Received:2008-07-21 Revised:2008-10-14 Online:2010-01-01 Published:2010-01-01
Contact: YU Chang-geng

基于小波-神经网络的数字电路IDDT故障诊断

余长庚，雷加

桂林电子科技大学电子工程学院，广西桂林 541004

通讯作者: 余长庚

Abstract

Abstract: A method of fault diagnosis for digital circuits of transient power supply current（I_DDT） based on the combination of neural network with wavelet transformation is presented，using the method of drawing energy-fault feature and BP algorithm.The proposed method samples transient current of circuit，then uses wavelet analysis as a tool to extract the best optimal feature information.The feature is applied to neural network and the fault is detected and localized.The simulation result of fault shows that the proposed method can classify the faults well.

Key words: digital circuits, fault diagnosis, neural networks, wavelet analysis

摘要： 利用小波变换与神经网络相结合的方法，采用“能量-故障”特征提取方法和BP算法，提出了一种基于小波分析和神经网络的数字电路瞬态电流I_DDT故障诊断方法。该方法首先采样电源到地的瞬态电流I_DDT，然后通过小波分析提取电路的故障特征向量，最后输入到神经网络进行故障诊断。经过计算机软件对故障进行仿真，结果表明使用小波-神经网络的数字电路I_DDT方法行之有效。

关键词: 数字电路, 故障诊断, 神经网络, 小波分析

CLC Number:

TP183

YU Chang-geng，LEI Jia. Fault diagnosis using IDDT for digital circuit based on wavelet analysis and neural networks[J]. Computer Engineering and Applications, 2010, 46(1): 211-214.

余长庚，雷加. 基于小波-神经网络的数字电路IDDT故障诊断[J]. 计算机工程与应用, 2010, 46(1): 211-214.

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Fault diagnosis using IDDT for digital circuit based on wavelet analysis and neural networks

基于小波-神经网络的数字电路IDDT故障诊断

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