Standard Article

Damage Detection Using the Hilbert–Huang Transform

Signal Processing

  1. Darryll J. Pines1,
  2. Liming W. Salvino2

Published Online: 15 SEP 2009

DOI: 10.1002/9780470061626.shm052

Encyclopedia of Structural Health Monitoring

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. .

Author Information

  1. 1

    University of Maryland, Department of Aerospace Engineering, College Park, MD, USA

  2. 2

    Naval Surface Warfare Center, Structures and Composites, Carderock Division, West Bethesda, MD, USA

Publication History

  1. Published Online: 15 SEP 2009

Abstract

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.

Keywords:

  • empirical mode decomposition;
  • Hilbert-Huang transform;
  • wave propagation;
  • damage;
  • delamination;
  • composite