Fault Diagnosis of Inter-turn Short Circuit in Turbogenerator Rotor Winding Based on Radial Basis Function Neural Network Algorithm
The inter-turn short circuit of rotor winding is one of the main faults in turbogenerators,and there are still shortcomings in existing diagnostic methods for this fault.Based on the analysis of radial basis function neural networks,a fault diagnosis method for inter-turn short circuits in turbogenerator rotor windings is proposed based on this neural net-work.The fault diagnosis process of this method is outlined in detail in this paper,and simulation verification is conducted.The proposed method is found to have high accuracy and fast convergence speed,and can effectively diagnose inter-turn short circuit faults in turbogenerator rotor windings.
turbogeneratorinter-turn short of rotor windingfault diagnosisradial basis function neural networkMATLAB