摘要
提出了一种模拟电路 K故障诊断 BP神经网络算法 ,特点是具有鲁棒性和实时诊断性 .故障诊断实例和计算机仿真结果表明本文所提方法是可行的 .
This paper proposes a method for analog fault diagnosis using neural networks.The primary focus of the paper is to provide robust diagnosis using a mechanism to deal with the problem of element tolerances and reduce testing time.The proposed approach is based on the k fault diagnosis method and artificial backward propagation neural network.Simulation results show that the method is robust and fast for fault diagnosis of analog circuits with tolerances.
出处
《湖南大学学报(自然科学版)》
EI
CAS
CSCD
2000年第S1期56-64,共9页
Journal of Hunan University:Natural Sciences
基金
国家自然科学基金资助项目!( 5970 70 0 2 )
湖南省自然科学基金资助项目!( 98JJY2 0 3 8)
湖南安力电子开发有限公司项目资助
关键词
人工神经网络
模拟电路
故障诊断
电路理论与设计
artificial neural networks
analog circuits
fault diagnosis
circuit theory and design