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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.
Highlights
Non-destructive testing (NDT) methods [1, 2] are used to examine the integrity of engineering materials and structures without altering them or affecting their serviceability
The objective of this paper is to review the principles of chirplet transform, discuss the relevant research papers in ultrasonic NDT and structural health monitoring (SHM) signal processing to expose existing applications, and motivate the research in potential ones
Its basis functions are derivable in time-frequency domain, while the derivation of the basis functions of the wavelet transform and short-time Fourier transform (STFT) are limited to the time domain, the chirplet transform is a generalization of both former transforms
Summary
Non-destructive testing (NDT) methods [1, 2] are used to examine the integrity of engineering materials and structures without altering them or affecting their serviceability. Ultrasonic testing [3, 4] is an important NDT method, in which a transducer sends an ultrasound pulse into the material under test, and the reflected or transmitted echo is received, processed and analyzed to provide useful information about the material’s properties or about the presence of flaws and their sizes, locations, and severity. The usefulness of the received ultrasonic NDT echo signals can be challenged by the noise from several sources including the material’s grain structure and by the limited resolution ability of the measurement system when the echo signals are overlapped due to the small space between the reflectors (interfaces or material flaws). Chirplet transform is a signal approximation method that can provide inclusive solutions for flaw detection and characterization, it is not as popular as other methods in the ultrasonic NDT and SHM signal processing research. The objective of this paper is to review the principles of chirplet transform, discuss the relevant research papers in ultrasonic NDT and SHM signal processing to expose existing applications, and motivate the research in potential ones
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