Application of radial neural network for detection of faults in induction motor stator winding

Abstract

The paper presents application of the radial neural network for detection of faults in induction motor stator winding. The decision of stator winding condition has been taken using the artificial neural network with radial basis function based on axial flux. The axial flux has been measured for different configuration of stator winding. It can be concluded that the axial flux can be used in detection of faults in induction motor stator winding