Bearing fault diagnosis based on amplitude and phase map of Hermitian wavelet transform |
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Authors: | Hui Li Lihui Fu Haiqi Zheng |
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Affiliation: | (1) School of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney, 2052, Australia |
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Abstract: | The rolling element bearing characteristic frequencies contain very little energy and are usually overwhelmed by noise and
higher level of structural vibrations. The continuous wavelet transform enables one to look at the evolution in the time scale
joint representation plane. This makes it very suitable for the detection of singularity generated by localized defects in
a mechanical system. However, most applications of the continuous wavelet transform have widely focused on the use of the
Morlet wavelet transform. The complex Hermitian wavelet is constructed based on the first and the second derivatives of the
Gaussian function to detect signal singularities. The Fourier spectrum of Hermitian wavelet is real, which the Fourier spectrum
has no complex phase and the Hermitian wavelet does not affect the phase of a signal in complex domain. This gives the desirable
ability to detect the singularity characteristic of a signal precisely. In this study, the Hermitian wavelet amplitude and
phase map are used in conjunction to detect and diagnose the bearing fault. The Hermitian wavelet amplitude and phase map
are found to show distinctive signatures in the presence of bearing inner race or outer race damage. The simulative and experimental
results show that the Hermitian wavelet amplitude and phase map can extract the transients from strong noise signals and can
effectively diagnose bearing faults. |
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Keywords: | |
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