Application of RBF network with ant colony and fisher ratio to fault diagnosis of oil-immersed transformer

Author

Aihua Li ; Xiaoyun Sun ; Donghui Liu

Author_Institution

Dept. of Electr. Eng., Mech. Eng. Coll., Shijiazhuang, China

Volume

1

fYear

2011

fDate

26-28 July 2011

Firstpage

549

Lastpage

551

Abstract

The ant colony algorithm combined with Fisher ratio algorithm is applied in fault diagnosis of oil-immersed transformer. Because the usual algorithm to ascertain RBF center is so single that the structure simplification of RBF and training accuracy can´t be assured, the ant colony algorithm combined with Fisher ratio algorithm is used to optimize RBF structure. The simulation result shows that this algorithm used in this paper make the RBF structure simplify and the accuracy improve. The ant colony/Fisher ratio together is more effective than the ant colony algorithm alone in fault diagnosis of oilimmersed transformer.

Keywords

electrical engineering computing; fault diagnosis; optimisation; power system faults; power transformers; radial basis function networks; RBF network; ant colony algorithm; fault diagnosis; fisher ratio algorithm; oil-immersed transformer; radial basis function networks; Accuracy; Clustering algorithms; Discharges; Fault diagnosis; Oil insulation; Radial basis function networks; Training; DGA; Fisher ratio; RBF; ant colony algorithm; fault diagnosis;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation (ICNC), 2011 Seventh International Conference on

Conference_Location

Shanghai

ISSN

2157-9555

Print_ISBN

978-1-4244-9950-2

Type

conf

DOI

10.1109/ICNC.2011.6022105

Filename

6022105