Damage Detection Using the Hilbert–Huang Transform
Published Online: 15 SEP 2009
Copyright © 2009 John Wiley & Sons, Ltd. All rights reserved.
Encyclopedia of Structural Health Monitoring
How to Cite
Pines, D. J. and Salvino, L. W. 2009. Damage Detection Using the Hilbert–Huang Transform. Encyclopedia of Structural Health Monitoring. .
- Published Online: 15 SEP 2009
In this article, a new structural health monitoring and damage identification method is presented. The method developed here exploits a new time–frequency signal-processing analysis tool now commonly referred to as the empirical mode decomposition method coupled with the Hilbert–Huang transform. The empirical mode decomposition is a time-series analysis method that extracts a custom set of basis functions to describe the vibratory response of a system. The ability of the empirical mode decomposition to extract embedded oscillations, to reveal hidden reflections in the data and to provide a high-resolution energy–time–frequency spectrum is used to characterize guided Lamb wave interactions with various damaged regions. Case studies are used to illustrate the effectiveness of the empirical mode decomposition method and various damage detection metrics to infer damage in one- and two-dimensional structures.
- empirical mode decomposition;
- Hilbert-Huang transform;
- wave propagation;