Study on Neural Network of Circuit Failure Diagnosis System

Combining the failure practical example, neural network analysis is used for diagnosis. Using the neural network in MATLAB to simulate the circuit fault system, this is using two different kinds of training functions. For the better analysis of failure diagnosis problems, firstly, using MATLAB softw...

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Bibliographic Details
Published in2008 International Symposium on Computer Science and Computational Technology Vol. 1; pp. 288 - 291
Main Authors Chenghui Yang, Jianjun Meng, Wenzhe Qi
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2008
Subjects
Artificial neural networks
circuit failure
Circuit faults
Circuit simulation
Computer science
Control systems
diagnosis
Failure analysis
Large-scale systems
learning
neural network
Neural networks
Neurons
Nonlinear dynamical systems
trainings
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Summary:Combining the failure practical example, neural network analysis is used for diagnosis. Using the neural network in MATLAB to simulate the circuit fault system, this is using two different kinds of training functions. For the better analysis of failure diagnosis problems, firstly, using MATLAB software to simulate failure problems such as the emergence of regular power, short circuit and broken circuit. Through the training functions traingdm training function and trainglm training function, then, we get the conclusion that which function is better for the diagnoses of circuit failure, and the importance of the simulation of the circuit failure system.
ISBN:1424437466
9781424437467
9780769534985
0769534988
DOI:10.1109/ISCSCT.2008.150