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Cortical Bone Assessment Using Ultrasonic Guided Waves: A Reproducibility Study in a Healthy Population
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Automatic mode extraction of ultrasonic guided waves using synchrosqueezed wavelet transform.

Zhenli Liu1, Kailiang Xu1, Dan Li1

  • 1Department of Electronic Engineering, Fudan University, 200433 Shanghai, China.

Ultrasonics
|July 20, 2019
PubMed
Summary

This study introduces an automated method to extract individual ultrasonic guided wave (GW) modes. The technique effectively separates overlapping wave packets, improving signal interpretation for multimodal GW analysis.

Keywords:
Mode separationSynchrosqueezed wavelet transformUltrasonic guided waves

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Area of Science:

  • Materials Science
  • Acoustics
  • Signal Processing

Background:

  • Ultrasonic guided waves (GWs) exhibit multimodal and dispersive characteristics.
  • Wave packet overlapping in time and frequency domains complicates signal interpretation.

Purpose of the Study:

  • To propose an automatic method for individual ultrasonic guided wave mode extraction.
  • To address the challenges posed by overlapping wave packets in multimodal GW signals.

Main Methods:

  • Utilized inversible synchrosqueezed wavelet transform (SWT) for high-resolution time-frequency representation (TFR).
  • Employed image processing techniques (watershed transform, region growing) for TFR segmentation and trajectory extraction.
  • Reconstructed individual modes using inverse SWT.

Main Results:

  • The proposed algorithm successfully extracted and reconstructed individual GW modes.
  • Reconstructed modes showed high consistency with original modes in synthesized signals.
  • Validated the algorithm's robustness on experimental data from bovine tibia and steel plates.

Conclusions:

  • The presented method offers a robust tool for processing multimodal ultrasonic GW signals.
  • The automated mode extraction enhances the interpretability of complex GW signals.
  • This technique has potential applications in non-destructive testing and material characterization.