DocumentCode :
2159985
Title :
Research on fault diagnosis of high-voltage circuit breaker based on the improved BP neural network
Author :
Ben-sheng, Qi
Author_Institution :
College of Computer & Information, Hohai University, Changzhou, China
fYear :
2010
fDate :
4-6 Dec. 2010
Firstpage :
1460
Lastpage :
1463
Abstract :
High-voltage circuit breaker is the most important control and protection equipment. Doing fault diagnosis to high-voltage is very important to realize the power system stable and reliable running. The improved BP neural network momentum gradient descent algorithm was used in high-voltage fault diagnosis comparing with traditional BP neural network in this paper. The simulation indicated that this algorithm makes the fault diagnosis more accurate and functional through adjusting the learning rate and weights.
Keywords :
Artificial neural networks; Circuit breakers; Circuit faults; Coils; Fault diagnosis; Testing; Training; fault Diagnosis; high-voltage circuit breaker; improved BP neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
Type :
conf
DOI :
10.1109/ICISE.2010.5691707
Filename :
5691707
Link To Document :
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