Automatic determination of acoustic plate source-detector separation from one waveform

Area of Science:

• Acoustics
• Signal Processing
• Materials Science

Background:

• Determining the location of transient acoustic sources is crucial in various engineering applications.
• Traditional methods often require multiple sensors or manual analysis, limiting efficiency.
• Automated techniques are needed for real-time source localization.

Purpose of the Study:

• To develop an automated procedure for calculating the separation between a transient acoustic source and a detector on a plate.
• To utilize a novel time-estimation algorithm for accurate wave arrival time determination.
• To enable single-waveform analysis for source-receiver distance calculation.

Main Methods:

• An automated time-estimation algorithm was employed, assuming the signal consists of discrete band-limited impulses.
• The MUltiple SIgnal Classification (MUSIC) algorithm was used in time-estimation mode.
• Key arrival times, including the lowest order antisymmetric (Ao) mode and Rayleigh wave, were automatically estimated.

Main Results:

• The algorithm successfully estimated the arrival times of the Ao mode and Rayleigh wave.
• By integrating plate properties with estimated arrival times, the distance to the acoustic source was calculated.
• The developed technique demonstrated the capability for automatic source-receiver separation determination.

Conclusions:

• An automated, single-waveform analysis method for determining transient acoustic source-detector separation on plates has been successfully developed.
• The MUSIC algorithm in time-estimation mode is effective for identifying critical wave arrival times.
• This technique offers an efficient and accurate solution for acoustic source localization problems.