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Updated: Jun 13, 2026

Data Acquisition Protocol for Determining Embedded Sensitivity Functions
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Published on: April 20, 2016

Velocity-Free Acoustic Emission Source Localization for Complex Structures Using Any-Angle Pathfinding Algorithm.

Dexian Li1,2, Longjun Dong1, Xuemei Wang1

  • 1School of Resources and Safety Engineering, Central South University, Changsha 410083, China.

Sensors (Basel, Switzerland)
|June 12, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a velocity-free acoustic emission (AE) source localization method using an any-angle pathfinding algorithm. This approach enhances accuracy in complex structures by optimizing wave propagation paths without needing prior velocity data.

Keywords:
acoustic emission sensoracoustic signal processingcomplex structuredata analysissource localization

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Area of Science:

  • Materials Science
  • Geophysics
  • Structural Health Monitoring

Background:

  • Accurate acoustic emission (AE) source localization is crucial for structural health monitoring.
  • Complex structures present challenges due to non-straight wave propagation and difficulty in velocity modeling.

Purpose of the Study:

  • To develop a velocity-free AE source localization method for complex structures.
  • To improve localization accuracy by optimizing wave propagation path estimation.

Main Methods:

  • Integration of the Anya algorithm for any-angle pathfinding to estimate optimal propagation paths.
  • Formulation of a velocity-free objective function under a weak anisotropy assumption.
  • Validation through AE pulse experiments on a granite specimen with holes.

Main Results:

  • The proposed method achieved an average location error of 19.02 mm.
  • This error is significantly lower than traditional methods (38.14 mm) and grid-based velocity-free methods (22.90 mm).
  • Demonstrated applicability to 2D or extruded 3D structures.

Conclusions:

  • The velocity-free, any-angle pathfinding method offers a feasible and accurate approach for AE source localization in complex environments.
  • Eliminates the need for precise wave velocity models, simplifying the localization process.
  • Provides a robust framework for structural health monitoring applications.