Paper Title:
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.

  Info
Periodical
Chapter
Chapter 3: Vibration Control and Condition Monitoring
Edited by
Paul P. Lin and Chunliang Zhang
Pages
710-713
DOI
10.4028/www.scientific.net/AMM.105-107.710
Citation
L. Liu, 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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$32.00
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