Integrated sensors for Structural Health Monitoring: groundwork for an interlaboratory comparison
Integrated sensors for Structural Health Monitoring: groundwork for an interlaboratory comparison
This work intends to lay the groundwork for an interlaboratory comparison of methodologies for Structural Health Monitoring, employing integrated transducers for the impact localization on structures. The study is conducted on an aluminum plate, on which impacts are produced by metal spheres of different mass, dropping from a fixed height, and the generated Lamb waves are detected by PZT sensors glued on the surface. A Laser Doppler Vibrometer is used for validation purposes, and different data processing and feature extraction algorithms are applied for comparison, with the goal of training Machine Learning models. The primary objective is to establish an optimized procedure that ensures reproducibility of results across different laboratories, for a possible in-field transfer.
diagnostic, Lamb waves, laser doppler velocimeter, machine learning, measurement, piezoelectric sensors, prognostic, SHM, validation
45-50
Chiominto, Luciano
c90edc35-1b1e-48b9-9f78-0b260b4eab30
D'Emilia, Giulio
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Dipietrangelo, Flavio
d0c0c40c-d6cb-4b38-ba67-76c5f7416d36
Gaspari, Antonella
ebe1bf7a-5ccc-4484-ae0e-26c21c168d18
Natale, Emanuela
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Nicassio, Francesco
f644457f-7b8b-49b3-ab03-ce4ede216445
Scarselli, Gennaro
a76cac5f-1cd7-4497-904c-93749650db83
19 August 2025
Chiominto, Luciano
c90edc35-1b1e-48b9-9f78-0b260b4eab30
D'Emilia, Giulio
e5d4d3e8-5b35-42ff-aa5c-b340a7bde89c
Dipietrangelo, Flavio
d0c0c40c-d6cb-4b38-ba67-76c5f7416d36
Gaspari, Antonella
ebe1bf7a-5ccc-4484-ae0e-26c21c168d18
Natale, Emanuela
6abd2713-8263-43d5-8274-7371f5ba623b
Nicassio, Francesco
f644457f-7b8b-49b3-ab03-ce4ede216445
Scarselli, Gennaro
a76cac5f-1cd7-4497-904c-93749650db83
Chiominto, Luciano, D'Emilia, Giulio, Dipietrangelo, Flavio, Gaspari, Antonella, Natale, Emanuela, Nicassio, Francesco and Scarselli, Gennaro
(2025)
Integrated sensors for Structural Health Monitoring: groundwork for an interlaboratory comparison.
In 2025 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd4.0 and IoT 2025 - Proceedings.
IEEE.
.
(doi:10.1109/MetroInd4.0IoT66048.2025.11122072).
Record type:
Conference or Workshop Item
(Paper)
Abstract
This work intends to lay the groundwork for an interlaboratory comparison of methodologies for Structural Health Monitoring, employing integrated transducers for the impact localization on structures. The study is conducted on an aluminum plate, on which impacts are produced by metal spheres of different mass, dropping from a fixed height, and the generated Lamb waves are detected by PZT sensors glued on the surface. A Laser Doppler Vibrometer is used for validation purposes, and different data processing and feature extraction algorithms are applied for comparison, with the goal of training Machine Learning models. The primary objective is to establish an optimized procedure that ensures reproducibility of results across different laboratories, for a possible in-field transfer.
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More information
Published date: 19 August 2025
Venue - Dates:
8th IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd4.0 and IoT 2025, , Castelldefels, Spain, 2025-07-01 - 2025-07-03
Keywords:
diagnostic, Lamb waves, laser doppler velocimeter, machine learning, measurement, piezoelectric sensors, prognostic, SHM, validation
Identifiers
Local EPrints ID: 512325
URI: http://eprints.soton.ac.uk/id/eprint/512325
PURE UUID: e55c7978-667a-46e0-ab33-369c6a89485f
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Date deposited: 24 Jun 2026 16:33
Last modified: 07 Aug 2026 02:48
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Contributors
Author:
Luciano Chiominto
Author:
Giulio D'Emilia
Author:
Flavio Dipietrangelo
Author:
Antonella Gaspari
Author:
Emanuela Natale
Author:
Francesco Nicassio
Author:
Gennaro Scarselli
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