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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Acoustic Emission dataset for impact localization: numerical and experimental case studies

Authors: Zonzini, Federica; Donati, Giacomo; De Marchi, Luca;

Acoustic Emission dataset for impact localization: numerical and experimental case studies

Abstract

Acoustic Emission dataset for Defect Detection in Aluminum plates Simulated data File name: Simulation.zip Simulated AE signals based on a ray-tracing algorithm taking into consideration reflections with the mechanical boundaries of the medium (reflection up to the 4th order), which corresponds to a 1x1x0.003 m square aluminum plate. Each signal has been created by simulating the propagation between a transmitter (Tx, index from 1 to 40) and a Receiver (Rx, index from 1 to 25), grouped by Tx position and saved as a .mat struct ('data') containing the following fields: data.Rx = 2 x 25 matrix containing in the first and second row the x and y axis of the Rx position data.Rx = 2 x 25 matrix containing in the first and second row the x and y axis of the Tx position data.data = 8000 x 25 matrix containing the transmitted, propagated AE signal from Tx to Rx organized by column. Each AE instance constitutes of 8000 samples acquired at a sampling frequency of 2 MHz (indicated in the file name), one for each Rx given that Tx position. data.Label = 1x25 vector containing the ToA labels associated with each of the 25 Tx-rx pairs (per Tx position) computed by means of the Akaike Information Criterion. Experimental data File name: Test_x0.xx_y0.yyFs2MHz_1x1x0.003_Al.csv Experimental data collected with custom AE instrumentation as described in Ref 1. One single file is a collection of 3 tests (three repetitions of the impact event at the same position), each of them containing three signals acquired simultaneously by three sensors located in proximity of three corners of a 1x1x0.003 aluminum plate having the same geometrical and numerical characteristics of the numerical one. The sensors acquire 5000 samples at a rate of 2 MHz (indicated in the file name) with a pre-trigger window of 1500 samples. The specific coordinates of the sensors are: s1 [x = 0.05, y = 0.95] m s2 [x = 0.05, y = 0.05] m s3 [x = 0.95, y = 0.05] m There are 9 files associated with as many impact positions, indicated by the "x0.xx_y0.yy" entry in the file name, with 0.xx and 0.yy corresponding to the x and y coordinate, respectively. Excitation has been provided by means of a waveform generator exciting a 3-cycle sinusoidal wave with central frequency of 250 kHz. More deatils about the electronics and the full setup are provided in the same reference above. This research work has been carried out within the Intelligent Sensor Systems Lab@University of Bologna, Italy. For any needs, warning or curiosities, please contact federica.zonzini@unibo.it

Keywords

Defect localization, Structural health monitoring, Machine learning, FOS: Electrical engineering, electronic engineering, information engineering, Structural engineering, Deep learning, Electrical engineering, electronic engineering, information engineering, Acoustic Emission

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average