Research on Gear Fault Diagnosis Based on Singular Value Decomposition and S-transform
In order to extract the impact feature from the vibration signal of the gear fault of the nuclear power planetary gear box for fault diagnosis under the interference of strong background noise,this paper combines the Singular Value Decomposition(SVD)and S transform,and uses MATLAB software to deal with the noise in the signal and extract the impact feature of the prom-inent fault information.The method adopted is as follows:the Hankel matrix is established from the signal containing noise,and three different singular value selection methods are used,namely,singular value median method,characteristic mean method and singular value difference spectrum method.After singular value processing,the Hankel matrix is reconstructed to achieve the pur-pose of reducing signal noise.The time spectrum diagram of the reconstructed signal is obtained by S-transform.The impact char-acteristics of the reconstructed signal are obtained by S inverse transformation of the time spectrum diagram.The results show that the combination of singular value difference spectrum method and S-transform is the best method to extract the impact characteris-tics,which can provide prior information for the diagnosis of gear related faults of nuclear power planetary gearbox.
万方数据
维普
