Title :
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
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;
Conference_Titel :
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9950-2
DOI :
10.1109/ICNC.2011.6022105
