A Neural Algorithm Model Based on Niche Technique and Its Study of Fault Diagnoses

The studies improved the algorithm of back propagation neural network and analyzed the niche technique. Based on the above studies, we proposed a neural algorithm model through the niche genetic technique. After trained and tested in its performance, this algorithm model was applied to the fault dia...

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Bibliographic Details
Published in2006 6th World Congress on Intelligent Control and Automation Vol. 2; pp. 5723 - 5728
Main Authors Yuanping Ni, Lan Gao, Li Zhang
Format Conference Proceeding
LanguageChinese
English
Published IEEE 2006
Subjects
Algorithm design and analysis
Automation
Electronic mail
Fault diagnosis
genetic algorithm
Genetic algorithms
Information analysis
neural network
Neural networks
niche technique
Power engineering
Power transformers
Testing
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ISBN9781424403325
1424403324
DOI10.1109/WCICA.2006.1714171

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Summary:The studies improved the algorithm of back propagation neural network and analyzed the niche technique. Based on the above studies, we proposed a neural algorithm model through the niche genetic technique. After trained and tested in its performance, this algorithm model was applied to the fault diagnoses of power transformers. The experimental data show that the algorithm model can converge quickly, efficiently diagnose the faults of power transformers, and increase greatly ratio of fault recognition. This algorithm model could have some reference value for fault diagnoses of similar electrical equipment
ISBN:9781424403325
1424403324
DOI:10.1109/WCICA.2006.1714171