Application of Probabilistic Neural Network in Motor Fault Diagnosis

For the limitations of the traditional fault diagnosis,a method based on probabilistic neural network diagnosis was proposed.The fault diagnosis study was done by choosing the induction motor rotor fault as an example and the neural network was trained by selecting the fault samples.The fault information was inputted into the trained neural network,and then the system could determine the incidence of failure types according to the output.The simulation results show that the method of the probabilistic neural network based motor fault diagnosis is feasible.