计算机与现代化Issue(1)：36-40,5.DOI:10.3969/j.issn.1006-2475.2017.01.007
基于覆盖算法的模拟电路故障诊断方法
Approach of Fault Diagnosis in Analog Circuit Based on Covering Algorithm
丁伟聪 1李志华 1裴杰才1
作者信息
- 1. 河海大学能源与电气学院,江苏 南京 211100
- 折叠
摘要
Abstract
The research on theory and method of analog circuit fault diagnosis is a hot research topic at present.Traditional neural network learning algorithm has limitations,such as it is difficult to determine its structure,to comprehend and to achieve with the hardware.To solve these problems of traditional neural network in fault diagnosis of analog circuits,we used the neighborhood covering algorithm (NCA) to determine the structure of the neural network.In order to reduce number of neurons and determine a good initial point of NCA,this paper studied an improved method (NSCA).In the end,the fault diagnosis of a certain bandpass filter circuit,which reduces the number of neurons in the neural network,improves the generalization ability of the neural network,and improves the accuracy of diagnosis about 9 percentage point.Simulation results show that the method is more effective.关键词
模拟电路/故障诊断/领域覆盖算法/领域搜索覆盖算法Key words
analog circuit/fault diagnosis/neighborhood covering algorithm/neighborhood search covering algorithm分类
信息技术与安全科学引用本文复制引用
丁伟聪,李志华,裴杰才..基于覆盖算法的模拟电路故障诊断方法[J].计算机与现代化,2017,(1):36-40,5.
