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Related Experiment Video

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Wavelet scattering transformation for sub-surface damage detection and localization in PZT sensor.

Abhinav P T1, Shivam Ojha2, Azeem Ahmad3

  • 1Department of Civil Engineering, Indian Institute of Technology Bombay, India.

Ultrasonics
|August 22, 2025
PubMed
Summary

This study introduces a novel reference-free method for detecting and locating subsurface defects in Lead zirconate titanate (PZT) sensors used in Structural Health Monitoring (SHM). The technique enhances sensor reliability by enabling self-diagnostics without needing a baseline measurement.

Keywords:
BM3D denoisingPZT sensorsReference-free detectionStructural health monitoringSub-surface damage detectionUltrasonic wavefieldWavelet scattering transform

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Area of Science:

  • Materials Science
  • Engineering
  • Signal Processing

Background:

  • Structural Health Monitoring (SHM) systems rely on piezoelectric sensors, often Lead zirconate titanate (PZT), for structural integrity assessment.
  • Subsurface damage in PZT sensors compromises SHM system reliability and accuracy.
  • Existing methods may require reference signals from undamaged sensors, limiting practical application.

Purpose of the Study:

  • To develop a reference-free method for detecting and localizing subsurface defects in PZT sensors.
  • To enhance the reliability and self-diagnostic capabilities of SHM systems.
  • To provide an interpretable and non-invasive solution for PZT sensor health monitoring.

Main Methods:

  • Experimental measurement of ultrasonic wave interactions in PZT materials using a Coulomb coupling-based excitation scheme.
  • Application of Block-Matching 3D (BM3D) filtering to denoise high-resolution but noisy wavefield images.
  • Utilizing Wavelet Scattering Transform (WST) for stable, hierarchical, and translation-invariant feature extraction from denoised data.
  • Unsupervised defect detection by identifying spatial anomalies that disrupt material symmetry.

Main Results:

  • High-resolution, denoised wavefield images were obtained, preserving critical structural details.
  • Wavelet Scattering Transform provided robust acoustic pattern representations.
  • The method successfully detected and localized subsurface defects without requiring a reference signal.
  • Spatial anomalies indicative of defects were identified by deviations from expected material symmetry.

Conclusions:

  • The proposed reference-free technique effectively detects and localizes subsurface defects in PZT sensors.
  • This approach significantly enhances SHM system reliability through improved sensor self-diagnostics.
  • The method offers a non-invasive, interpretable, and practical solution for maintaining sensor integrity.