Locating the acoustic source in thin glass plate using low sampling rate data.

Area of Science:

• Structural Health Monitoring
• Acoustic Engineering
• Signal Processing

Background:

• Acoustic source localization is crucial for structural health monitoring (SHM).
• Existing methods often rely on high sampling rate data and multiple sensors.
• There's a need for simpler, more accessible localization techniques.

Purpose of the Study:

• To develop a novel technique for localizing acoustic sources on isotropic plates using low sampling rate data.
• To validate the efficacy of using two electret microphones and Loci of k-Tuple Distances (LkTD).
• To explore frequency-based time difference of arrival (TDOA) estimation for improved accuracy.

Main Methods:

• Implementation of a novel technique combining two electret microphones and LkTD.
• Utilizing low sampling rate data for acoustic source localization.
• Estimation of TDOA based on signal frequency properties, not time properties.

Main Results:

• The proposed method successfully localized acoustic sources on isotropic plates.
• TDOA estimations using low sampling rate data yielded more accurate predictions than previous studies.
• The selection of LkTD significantly impacts the technique's performance.

Conclusions:

• The novel technique effectively localizes acoustic sources using simple sensors and low sampling rate data.
• Frequency-based TDOA estimation with LkTD offers a promising alternative for SHM.
• This approach simplifies localization, potentially reducing the need for complex sensor arrays.