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Considering the fault characteristic of rotating machinery, a novel approach was proposed by using harmonic wavelet filtering. Based on the fine refinement function of harmonic wavelet, the characteristic frequency components and other components were decomposed to independent frequency bands, without any overlapping or leaking. Then the characteristic frequency component would be extracted by the...
In order to extract impulsive feature of fault signal, a novel approach was proposed by using harmonic wavelet package. With this method, the signal could be decomposed into any frequency band, and then the interested frequency band could be extracted and reconstructed in time domain, so the impulsive feature could be extracted from rubbing fault signal. Simulation and practical example show the good...
Based on morphological undecimated wavelet decomposition (MUWD), a novel method was proposed to extract rolling element bearing fault feature. MUWD possesses both the characteristic of morphological filter in morphology and multi-resolution in wavelet transform. Signal length was maintained invariable and information loss could be avoided in MUWD. Multi-scale MUWD was developed based on the characteristic...
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