Lamb Waves Decomposition and Mode Identification Using Matching Pursuit Method

Abstract

Matching pursuit (MP) is an adaptive signal decomposition technique and can be applied to process Lamb waves, such as denoising, wave parameter estimation, and feature extraction, for health monitoring applications. This paper explored matching pursuit decomposition using Gaussian and chirplet dictionaries to decompose/approximate Lamb waves and extract wave parameters. While Gaussian dictionary based MP is optimal for decomposing symmetric signals, chirplet dictionary based MP is able to decompose asymmetric signals, e.g., dispersed Lamb wave. The extracted parameter, chirp rate, from the chirplet MP can be used to correlate with two Lamb wave modes, S0 and A0.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2009
Accession Number
ADA511442

Entities

People

  • Buli Xu
  • Lingyu Yu
  • Victor Giurgiutiu

Organizations

  • University of South Carolina

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Damage Detection
  • Decomposition
  • Dictionaries
  • Engineering
  • Frequency
  • Group Velocity
  • Identification
  • Mechanical Engineering
  • Monitoring
  • Simulations
  • Structural Health Monitoring
  • Time Domain
  • Wave Packets
  • Wave Propagation
  • Wavelet Transforms
  • Waves

Fields of Study

  • Engineering

Readers

  • Image Processing and Computer Vision.
  • Quantum Chemistry
  • Wave Propagation and Nonlinear Chaotic Dynamics.

Technology Areas

  • AI & ML