HHT-based AE characteristics of natural fatigue cracks in rotating shafts
This paper addresses an application of recently developed HilbertHuang transform (HHT) signal processing technique on AE feature extraction of natural fatigue cracks in rotating shafts providing an energyfrequencytime distribution with adaptable precision. A special purpose built test rig was employed for generating natural rotating fatigue crack on a shaft. Acoustic emission signals are non-stationary and nonlinear transients, whose waveforms and arrival times are unknown. A common problem in AE signal processing is to extract physical parameters of interest when these involve joint variations of time and frequency. It has been found that HHT appears to be a better tool compared to fast Fourier transform and continuous wavelet transform for natural fatigue crack characterization in a rotating rotor in all experiment cases. It was concluded that HHT-based AE technology successfully extracted the features of natural fatigue cracks induced on rotating shafts.
hht natural fatigue cracks shafts acoustic emissions