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Acoustic source localization using L-shaped sensor clusters: A review.

Chenning Ma¹, Zixian Zhou¹, Jinxia Liu¹

¹Department of Acoustics and Microwave Physics, College of Physics, Jilin University, Changchun, Jilin 130012, China.

|April 28, 2023

Summary

This summary is machine-generated.

L-shaped sensor clusters (LSSC) are crucial for acoustic source localization in structural health monitoring. This review details LSSC techniques for damage detection and explores future development in ASL.

Keywords:

Acoustic source localization Elastic wave propagation L-shaped sensor clusters Time difference of arrival Wave front shape

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Area of Science:

Engineering
Acoustics
Structural Health Monitoring

Background:

Acoustic source localization (ASL) is vital for structural health monitoring (SHM).
L-shaped sensor clusters (LSSC) offer a convenient platform for ASL and SHM applications.
Significant advancements in LSSC-based techniques have occurred over the last decade.

Purpose of the Study:

To review fundamental roles of LSSC in ASL techniques developed over the past ten years.
To discuss future potentials and development space for LSSC in SHM.
To provide a comprehensive understanding of LSSC-based localization methods.

Main Methods:

Review of LSSC-based time difference of arrival (TDOA) localization techniques.
Analysis of wave front shape-based localization techniques utilizing LSSC.
Discussion of advantages, disadvantages, and error sources for reviewed methods.

Main Results:

LSSC has demonstrated significant utility in ASL for SHM and non-destructive testing (NDT).
Both TDOA and wave front shape methods show promise but have limitations.
Identified error sources provide insights into current limitations.

Conclusions:

LSSC remains a key technology with substantial room for growth in ASL and damage detection.
Understanding technique limitations and error sources is crucial for future development.
Further research can enhance the accuracy and applicability of LSSC-based SHM.