Structural Crack Detection Using Hilbert-Huang Transform Method and Wavelet Analysis

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Crack detection, Hilbert–Huang transform, Wavelet analysis Abstract. This paper illustrates the feasibility of the Hilbert–Huang transform (HHT) as a signal processing tool for detecting structural cracks. HHT is a promising method to extract the properties of nonlinear signals. However the HHT has some shortcomings, for example some undesirable pseudo-IMFs and multi-component IMF. The crack detection method based on the wavelet analysis and HHT is proposed to analyze response signals: the wavelet analysis is used to decompose the signal into a set of narrow band signals prior to the HHT. Then, a screening process is conducted to remove unrelated IMFs. By comparing the IMFs’ instantaneous amplitudes, the existence of structural crack is detected. Finally, the experiment results of the cantilever beams prove the reliability of this method.

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Periodical:

Edited by:

Paul P. Lin and Chunliang Zhang

Pages:

710-713

DOI:

10.4028/www.scientific.net/AMM.105-107.710

Citation:

L. Liu and D. S. Dong, "Structural Crack Detection Using Hilbert-Huang Transform Method and Wavelet Analysis", Applied Mechanics and Materials, Vols. 105-107, pp. 710-713, 2012

Online since:

September 2011

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$35.00

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