Diagnosis of subharmonic faults of large rotating machinery based on EMD

摘要

Vibration signals always carry abundant dynamic information about a machine and are very useful for feature extraction and fault diagnosis. In practice, most subharmonic signals have a close relationship to time variables and can manifest large amplitude fluctuation, transient vibration, or modulation signals in time domain. In view of this, this paper describes an effective method to search the features of subharmonic faults of large rotating machinery based on empirical mode decomposition (EMD).