The wavelet de-noising technique with wavelet based function has been used in this paper for bearing fault detection. The applications of the wavelet de-noising show that the fault pulses in time-domain of the de-noised signals are easily to be detected as a result of removing the covering noise, which is not possible through the time-domain analysis of the original signal. Furthermore, the reciprocal period which matches the bearing fault frequency can be easily detected without further analysis by FFT-Spectrum.
No takes yet. Share an insight, caveat, or question.
Tobi et al. (2015) studied this question.
Synapse has enriched 5 related papers. Consider them for comparative context: