Urban Rail Train Wheel Fault Diagnosis Based on Improved EEMD

In order to accurately identify the types of wheel faults in urban rail trains, a method based on improved ensemble empirical mode decomposition (EEMD) and Hilbert transform is proposed. The improved EEMD decomposition of the acquired vibration signal obtains several intrinsic mode functions (IMFs), and the Hilbert transform is performed on the IMF component containing the main information components, and judged the type of failure of the train wheels according to the fault characteristic frequency of the Hilbert spectrum. The experimental results show that the method can be used to identify the fault types of urban rail train wheels effectively and accurately.