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Preliminary Results of a Structural Health Monitoring System Application for Real-Time Debonding Detection on a Full-Scale Composite Spar
The present paper reports the outcomes of activities concerning a real-time SHM system for debonding flaw detection based on ground testing of an aircraft structural component as a basis for condition-based maintenance. In this application, a damage detection method unrelated to structural or load m...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823329/ https://www.ncbi.nlm.nih.gov/pubmed/36617052 http://dx.doi.org/10.3390/s23010455 |
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author | Ciminello, Monica Sikorski, Bogdan Galasso, Bernardino Pellone, Lorenzo Mercurio, Umberto Concilio, Antonio Apuleo, Gianvito Cozzolino, Aniello Kressel, Iddo Shoham, Shay Tur, Moshe |
author_facet | Ciminello, Monica Sikorski, Bogdan Galasso, Bernardino Pellone, Lorenzo Mercurio, Umberto Concilio, Antonio Apuleo, Gianvito Cozzolino, Aniello Kressel, Iddo Shoham, Shay Tur, Moshe |
author_sort | Ciminello, Monica |
collection | PubMed |
description | The present paper reports the outcomes of activities concerning a real-time SHM system for debonding flaw detection based on ground testing of an aircraft structural component as a basis for condition-based maintenance. In this application, a damage detection method unrelated to structural or load models is investigated. In the reported application, the system is applied for real-time detection of two flaws, kissing bond type, artificially deployed over a full-scale composite spar under the action of external bending loads. The proposed algorithm, local high-edge onset (LHEO), detects damage as an edge onset in both the space and time domains, correlating current strain levels to next strain levels within a sliding inner product proportional to the sensor step and the acquisition time interval, respectively. Real-time implementation can run on a consumer-grade computer. The SHM algorithm was written in Matlab and compiled as a Python module, then called from a multiprocess wrapper code with separate operations for data reception and data elaboration. The proposed SHM system is made of FBG arrays, an interrogator, an in-house SHM code, an original decoding software (SW) for real-time implementation of multiple SHM algorithms and a continuous interface with an external operator. |
format | Online Article Text |
id | pubmed-9823329 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98233292023-01-08 Preliminary Results of a Structural Health Monitoring System Application for Real-Time Debonding Detection on a Full-Scale Composite Spar Ciminello, Monica Sikorski, Bogdan Galasso, Bernardino Pellone, Lorenzo Mercurio, Umberto Concilio, Antonio Apuleo, Gianvito Cozzolino, Aniello Kressel, Iddo Shoham, Shay Tur, Moshe Sensors (Basel) Article The present paper reports the outcomes of activities concerning a real-time SHM system for debonding flaw detection based on ground testing of an aircraft structural component as a basis for condition-based maintenance. In this application, a damage detection method unrelated to structural or load models is investigated. In the reported application, the system is applied for real-time detection of two flaws, kissing bond type, artificially deployed over a full-scale composite spar under the action of external bending loads. The proposed algorithm, local high-edge onset (LHEO), detects damage as an edge onset in both the space and time domains, correlating current strain levels to next strain levels within a sliding inner product proportional to the sensor step and the acquisition time interval, respectively. Real-time implementation can run on a consumer-grade computer. The SHM algorithm was written in Matlab and compiled as a Python module, then called from a multiprocess wrapper code with separate operations for data reception and data elaboration. The proposed SHM system is made of FBG arrays, an interrogator, an in-house SHM code, an original decoding software (SW) for real-time implementation of multiple SHM algorithms and a continuous interface with an external operator. MDPI 2023-01-01 /pmc/articles/PMC9823329/ /pubmed/36617052 http://dx.doi.org/10.3390/s23010455 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ciminello, Monica Sikorski, Bogdan Galasso, Bernardino Pellone, Lorenzo Mercurio, Umberto Concilio, Antonio Apuleo, Gianvito Cozzolino, Aniello Kressel, Iddo Shoham, Shay Tur, Moshe Preliminary Results of a Structural Health Monitoring System Application for Real-Time Debonding Detection on a Full-Scale Composite Spar |
title | Preliminary Results of a Structural Health Monitoring System Application for Real-Time Debonding Detection on a Full-Scale Composite Spar |
title_full | Preliminary Results of a Structural Health Monitoring System Application for Real-Time Debonding Detection on a Full-Scale Composite Spar |
title_fullStr | Preliminary Results of a Structural Health Monitoring System Application for Real-Time Debonding Detection on a Full-Scale Composite Spar |
title_full_unstemmed | Preliminary Results of a Structural Health Monitoring System Application for Real-Time Debonding Detection on a Full-Scale Composite Spar |
title_short | Preliminary Results of a Structural Health Monitoring System Application for Real-Time Debonding Detection on a Full-Scale Composite Spar |
title_sort | preliminary results of a structural health monitoring system application for real-time debonding detection on a full-scale composite spar |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823329/ https://www.ncbi.nlm.nih.gov/pubmed/36617052 http://dx.doi.org/10.3390/s23010455 |
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