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

Long Liu; Da Shan Dong

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

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 105-107Structural Crack Detection Using Hilbert-Huang...

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

Abstract:

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:

Applied Mechanics and Materials (Volumes 105-107)

Pages:

710-713

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.105-107.710

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Online since:

September 2011

Authors:

Long Liu, Da Shan Dong

Keywords:

Crack Detection, Hilbert-Huang Transform (HHT), Wavelet Analysis

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