Research on the Wavelet De-noising of Vibration Signals for Aircraft Rolling Bearings
Aiming at air rolling bearing vibration signals low SNR and non-stationary characteristics,taking wavelet theory and principles of the wavelet noise reduction for air vibration signals of rolling bearings to conduct wavelet noise reduction processing. By means of the simulation signal wavelet noise reduction processing and fast Fourier transform,the contrast analysis of the vibration signals is made after wavelet noise reduction and FFT transform and the original signal directly to the result of the fast Fourier transform,and thus the validity of the vibration signal wavelet noise reduction is proved. Through the actual vibration signals of bearing conduct noise reduction processing,the result is a further indication of the superiority of wavelet noise reduction in eliminate noise interference.