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07:52
An Automated System for Sound Localization Testing in Hearing-Impaired Listeners
Published on: March 13, 2026
Near-field beamforming analysis for acoustic emission source localization.
Tian He1, Qiang Pan, Yaoguang Liu
1School of Transportation Science and Engineering, Beihang University, Beijing 100191, PR China.
Ultrasonics
|January 3, 2012
Summary
This study presents a near-field acoustic emission (AE) beamforming method for precise AE source localization. The technique effectively identifies damage regions in structures, offering a valuable tool for engineering applications.
Area of Science:
- Mechanical Engineering
- Materials Science
- Signal Processing
Background:
- Acoustic emission (AE) is a crucial non-destructive testing technique.
- Accurate source localization is vital for damage assessment in structural health monitoring.
- Traditional AE localization methods face challenges in near-field scenarios.
Purpose of the Study:
- To introduce and validate a near-field acoustic emission beamforming method.
- To determine AE source locations using a compact sensor array.
- To explore the method's applicability in engineering diagnostics.
Main Methods:
- Investigated AE signal propagation using guided wave theory.
- Developed a beamforming algorithm tailored for near-field AE.
- Conducted experiments including pencil lead break tests on a steel plate.
- Performed rotor-stator rubbing tests to assess practical engineering applications.
Main Results:
- Demonstrated the feasibility of beamforming for AE signal processing.
- Successfully estimated AE source locations in controlled tests.
- Validated the method's effectiveness in identifying rubbing locations in a rotor-stator system.
- Confirmed the capability of the proposed method for near-field AE source localization.
Conclusions:
- The proposed near-field AE beamforming method is effective for source localization.
- This technique offers a promising analysis tool for structural health monitoring.
- The study highlights the potential for improved damage detection in engineering applications.
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