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Sound Source Localization Testing in Single-sided Deafness Following Bone Conduction Intervention
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Error analysis and correction of multi-sensor cluster methods for acoustic emission source localization.

Chuanrong Xue1, Gang Xu1, Xinke Wang1

  • 1College of Civil engineering & Architecture, China Three Gorges University, Yichang 443002, China.

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|April 25, 2021
PubMed
Summary

This study introduces improved algorithms to reduce acoustic emission (AE) source localization errors in multi-sensor clusters. The new methods enhance positioning accuracy for both 2D and 3D structures, offering practical value in AE monitoring.

Keywords:
Acoustic emissionAmendment algorithmAnisotropic structureIsotropic structureSource locating

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Area of Science:

  • Acoustics
  • Signal Processing
  • Materials Science

Background:

  • Existing multi-sensor cluster acoustic emission (AE) source localization methods exhibit positioning errors due to a parallel assumption.
  • Specific sensor arrangements, like isosceles right-angled triangles and triangular pyramids, are analyzed for their positioning error characteristics.

Purpose of the Study:

  • To analyze positioning errors in multi-sensor cluster AE localization for specific sensor arrangements.
  • To propose and validate two- and three-dimensional amendment algorithms to correct these errors.

Main Methods:

  • Analysis of positioning errors for isosceles right-angled triangle and triangular pyramid sensor arrangements.
  • Development of 2D and 3D amendment algorithms.
  • Validation through pencil lead break experiments and numerical simulations.

Main Results:

  • Identified specific conditions for accurate AE source localization in existing methods.
  • Demonstrated that the 2D amendment algorithm improves accuracy by 27.8% in anisotropic structures.
  • Showcased a 3D amendment algorithm achieving zero positioning error, outperforming the standard method (24.6 mm error).

Conclusions:

  • The proposed amendment algorithms effectively correct positioning errors caused by the parallel assumption in multi-sensor cluster AE localization.
  • These algorithms demonstrate significant engineering application value for AE monitoring in 2D and 3D structures.