Abstract:

In order to realize fast and correct fault diagnosis in electric network,this paper presents a novel fault diagnosis model employing the abilities of GRNN(General Regression Neural Network)in approximation,classifi-cation and learning.Simulated results demonstrate that the proposed model not only can make fast and accurate di-agn oses with good fault.toleran ce performance,but also possesses excellent self-adaptive ability for various topologi-cal structures of electric network.

Key words: power system, fault diagnosis, general regression neural network, self-adaptive ability