Application of Hilbert-Huang Transform Method in Vibration Faults Diagnosis for Rotor System

The traditional vibration diagnostic method was based on spectrum analysis for rotating machinery. The time-frequency map by Hilbert-Huang transform plays a significant role in the analysis of singularities, which hide in the signal, and is an effective method for non-stationary signal. Based on empirical mode decomposition(EMD), the Hilbert-Huang method can obtain a true instantaneous frequency representation of a signal. The Hilbert-Huang time-frequency analysis was compared with common methods, e.g., Wigner-Ville distribution and wavelet transform, which displays the Hilbert-Huang time-frequency analysis has more true and distinct time-frequency distribution. The experiment data of typical vibration faults signal were analyzed by the method, and the result shows that the proposed method can not only reveal the time-frequency features of vibration signal but also extrude components of low energy. Therefore,it is a very effective tool to diagnose the early faults of rotor system. And it provides new means for state detection and fault diagnosis of rotating machine.