The Fault Diagnosis Rotor System by Combining Wavelet Transform and Hilbert-Huang Transform
Li Ji · Machine Tool & Hydraulics · 2009
In the fields of fault diagnosis,because of great background noise,it is difficult to find the useful fault characteristics.The separation of signal and noise was carried out by using wavelet transform,and incipient fault information which was submerged in noise was picked up.Some of intrinsic mode functions were obtained by means of empirical mode decomposition on the extracted signals.According to the Hilbert time-frequency spectrum and bound spectrum,the corresponding fault of non-stationary signals was diagnosed clearly.Theory analysis and experiments illustrate that based on this method,the obtained intrinsic mode functions can reveal the characteristic information in rotor system,this method can be used to detect incipient faults in rotor system effectively.