The Application of BP Neural Network in the Fault Diagnosis of Rotating Machinery

BP neural network is effective for dealing with non-Linear mapping which could satisfactorily describe the non-Linear relations between frequency character and diagnosis results. So the de-noising and feature extraction methods of rotating machinery is discussed in this paper, and a diagnosis model for rotating machinery based on BP neural network is proposed and set up. Then, emulates the model of diagnosis of BP neural network through using MATLAB. Experiment results show that the proposed method based on BP neural network has high practical value in the rotating machinery fault diagnosis.