Abstract
Ultrasonic non-destructive testing signal can be decomposed into a set of chirplet signals, which makes the chirplet transform a fitting ultrasonic signal analysis and processing method. Moreover, compared to wavelet transform, short-time Fourier transform and Gabor transform, chirplet transform is a comprehensive signal approximation method, nevertheless, the former methods gained more popularity in the ultrasonic signal processing research. In this paper, the principles of the chirplet transform are explained with a simplified presentation and the studies that used the transform in ultrasonic non-destructive testing and in structural health monitoring are reviewed to expose the existing applications and motivate the research in the potential ones.
Author supplied keywords
Cite
CITATION STYLE
Mohammed, M. S., & Ki-Seong, K. (2019). Chirplet Transform in Ultrasonic Non-Destructive Testing and Structural Health Monitoring: A Review. Engineering, Technology and Applied Science Research, 9(1), 3778–3781. https://doi.org/10.48084/etasr.2470
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.