Rolling bearing fault diagnosis method based on frequency domain window empirical wavelet resonance demodulation

摘要: The invention discloses an adaptive frequency domain window empirical wavelet transformation resonance demodulation method for rolling bearing fault diagnosis. comprises steps that step 1, according to acquired parameter indexes, upper and lower cut-off change fluctuation scopes of a are determined; 2, function is constructed, coefficient after through calculation, modal component signal reconstructed; 3, improved envelope harmonic wave noise ratio the finally determined normalization processing; 4, taken as optimal fitness value, particle swarm optimization employed, position 5, characteristic information vibration extracted, analysis diagnosis accomplished. advantaged in band zone can be flexibly selected, diagnosed utilizing transformation.