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Impact Localization On A Metal Plate Using Matched Field Processing And A Microphone Arraya)

Home
Impact Localization On A Metal Plate Using Matched Field Processing And A Microphone Arraya)

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Impact localization on a metal plate using matched field processing and a microphone arraya)

Allison M King¹, David R Dowling^1,2

¹Department of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA.

The Journal of the Acoustical Society of America

|February 7, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

This study successfully localized impact sources on a metal plate using Bartlett matched field processing (MFP). The technique achieved high accuracy, even in noisy conditions, offering a non-contact solution for structural health monitoring.

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Area of Science:

Acoustics
Structural Health Monitoring
Signal Processing

Background:

Acoustic waves are valuable for remote sensing and structural health monitoring due to their non-contact measurement capabilities.
Traditional source localization methods struggle with complex geometries, wave dispersion in structures, and sensor contact issues.
Impact source localization is a critical task in structural health monitoring.

Purpose of the Study:

To adapt and apply Bartlett matched field processing (MFP) for localizing impact excitations on a metal plate.
To evaluate the performance of MFP in a complex structural acoustics environment.
To assess the robustness of MFP under noisy conditions.

Main Methods:

Utilized a 14-microphone array to record acoustic waves radiated from an impacted aluminum plate.

Employed Bartlett matched field processing (MFP), a technique from underwater acoustics.

Integrated MFP with a physics-based finite-element acoustic environment model for localization.

Investigated localization performance with varying signal-to-noise ratios.

Main Results:

Impact sources were localized on a round aluminum plate with typical accuracy within 1.1 cm of the true location.
The Bartlett matched field processing (MFP) method demonstrated successful localization down to a signal-to-noise ratio of -7.5 dB.
Ambiguity surfaces were generated to visualize predicted source locations.

Conclusions:

Bartlett matched field processing (MFP) is a viable and accurate technique for non-contact impact source localization in structural health monitoring.
MFP offers advantages over traditional methods by accommodating complex structural acoustics and avoiding physical sensor contact.
The developed method shows promise for real-world applications, including noisy environments.