Analog Circuit Fault Diagnosis Based on Distributed Neural Network

Analog Circuit Fault Diagnosis Based on Distributed Neural Network

Cached

Download Links

by Long Wang , Yanheng Liu , Xiaoguang Li , Jian Guan , Qi Song

BibTeX

@MISC{Wang_analogcircuit,
    author = {Long Wang and Yanheng Liu and Xiaoguang Li and Jian Guan and Qi Song},
    title = {Analog Circuit Fault Diagnosis Based on Distributed Neural Network},
    year = {}
}

OpenURL

Abstract

Abstract—In order to solve the problems caused by large dataset, such as the network scale and the training time, a new method of analog circuit fault diagnosis based on distributed neural network is presented in this paper. The model of distributed neural network is simply introduced. The arithmetic mechanism is depicted in detail and the arithmetic description is given. Simulation results show that this method can improve learning speed and carry out fault diagnosis of analog circuit accurately. Index Terms—analog circuit, fault diagnosis, distributed neural network, Hebb rule

Keyphrases

distributed neural network analog circuit fault diagnosis fault diagnosis index term training time network scale new method simulation result hebb rule large dataset arithmetic description neural network analog circuit arithmetic mechanism