Fault Diagnosis of Distribution System Based on Distributed Chaotic Fuzzy RBF Neural Networks

Author

Jian-liang Meng ; Wan-qing Gao ; Hui-jing Pang ; Wei-hua Niu

Author_Institution

Coll. of Comput. Sci. & Technic., North China Electr. Power Univ., Baoding

fYear

2008

fDate

15-17 Aug. 2008

Firstpage

905

Lastpage

908

Abstract

Distributed chaotic fuzzy RBF neural networks is described in the paper against the problems of slow convergence and easy trapping into local minimum of BP neural networks. For introducing chaotic noise to choose the initial value of the network, it can avoid the local minimum, while the fuzzy character improves the capability of generalization. The simulation results show that the suggested approach for RBF NN works successfully and effectively in FSE.

Keywords

fault diagnosis; fuzzy neural nets; power distribution faults; power engineering computing; radial basis function networks; chaotic noise; distributed chaotic fuzzy RBF neural networks; distribution system; fault diagnosis; radial basis functions; Chaos; Convergence; Fault diagnosis; Fuzzy neural networks; Fuzzy systems; Input variables; Intelligent networks; Multimedia systems; Neural networks; Neurons; RBF neural networks; chaotic; fault section estimation; fuzzy; power systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Hiding and Multimedia Signal Processing, 2008. IIHMSP '08 International Conference on

Conference_Location

Harbin

Print_ISBN

978-0-7695-3278-3

Type

conf

DOI

10.1109/IIH-MSP.2008.279

Filename

4604197