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A defect localization method based on self-sensing and orthogonal matching pursuit.

Yuqing Gao1, Weilei Mu2, Fuh-Gwo Yuan3

  • 1College of Engineering, Ocean University of China, Qingdao, Shandong 266100, China.

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Summary

This study introduces a single lead zirconate titanate (PZT) patch for structural health monitoring (SHM), enabling defect localization with reduced sensor count. The novel self-sensing circuit and signal processing method improve accuracy by overcoming dispersion effects.

Keywords:
Defect localizationSelf-sensingWave packets decomposition

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Area of Science:

  • Materials Science
  • Mechanical Engineering
  • Electrical Engineering

Background:

  • Conventional structural health monitoring (SHM) relies on extensive sensor arrays, often using multiple lead zirconate titanate (PZT) patches for defect localization.
  • Large-scale structures necessitate a reduction in the number of sensors for practical and cost-effective implementation.

Purpose of the Study:

  • To develop an extremely sparse sensor array for SHM using a single PZT patch capable of simultaneous actuation and sensing.
  • To investigate a novel self-sensing circuit and advanced signal processing techniques for accurate defect localization.

Main Methods:

  • A half-bridge self-sensing circuit integrating a PZT patch and capacitor was developed and analyzed for capacitance and performance.
  • An orthogonal matching pursuit (OMP)-based algorithm was employed for sparse decomposition and dispersion removal to reconstruct overlapped wave packets.
  • A matching strategy was devised to correlate wave packets with wave paths, followed by ellipse-type imaging for defect localization.

Main Results:

  • The proposed single PZT patch system demonstrated efficacy in localizing single and double defects.
  • Experimental results confirmed the ability of the self-sensing unit and signal processing method to mitigate the adverse effects of sensor-actuator interval and dispersion.
  • Improved localization resolution and accuracy were achieved compared to conventional methods.

Conclusions:

  • The developed single PZT self-sensing approach significantly reduces sensor requirements for SHM.
  • The OMP-based signal processing effectively handles wave packet separation and dispersion, enhancing localization accuracy.
  • This method offers a promising solution for efficient and accurate structural health monitoring of large-scale structures.