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

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.