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Structural Health Monitoring Cost Estimation of a Piezosensorized Aircraft Fuselage
Guided waves-based SHM systems are of interest in the aeronautic sector due to their lightweight, long interrogation distances, and low power consumption. In this study, a bottom-up framework for the estimation of the initial investment cost [Formula: see text] and the added weight [Formula: see tex...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915022/ https://www.ncbi.nlm.nih.gov/pubmed/35270917 http://dx.doi.org/10.3390/s22051771 |
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author | Giannakeas, Ilias N. Khodaei, Zahra Sharif Aliabadi, M. H. Ferri |
author_facet | Giannakeas, Ilias N. Khodaei, Zahra Sharif Aliabadi, M. H. Ferri |
author_sort | Giannakeas, Ilias N. |
collection | PubMed |
description | Guided waves-based SHM systems are of interest in the aeronautic sector due to their lightweight, long interrogation distances, and low power consumption. In this study, a bottom-up framework for the estimation of the initial investment cost [Formula: see text] and the added weight [Formula: see text] associated with the integration of a SHM system to an aircraft is presented. The framework provides a detailed breakdown of the activities and their costs for the sensorization of a structure using a fully wired approach or the adoption of the printed diagnostic film. Additionally, the framework considers the difference between configuring the system for Manual or Remote data acquisition. Based on the case study presented on the sensorization of a regional aircraft composite fuselage, there is a trade-off between [Formula: see text] and [Formula: see text] for the SHM options considered. The Wired–Manual case leads to the lowest [Formula: see text] with the highest [Formula: see text] , while the combination of diagnostic film with a Remote system leads to the highest [Formula: see text] and the lowest [Formula: see text]. These estimations capture the characteristics of each system and can be integrated into cost–benefit analyses for the final selection of a particular configuration. |
format | Online Article Text |
id | pubmed-8915022 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89150222022-03-12 Structural Health Monitoring Cost Estimation of a Piezosensorized Aircraft Fuselage Giannakeas, Ilias N. Khodaei, Zahra Sharif Aliabadi, M. H. Ferri Sensors (Basel) Article Guided waves-based SHM systems are of interest in the aeronautic sector due to their lightweight, long interrogation distances, and low power consumption. In this study, a bottom-up framework for the estimation of the initial investment cost [Formula: see text] and the added weight [Formula: see text] associated with the integration of a SHM system to an aircraft is presented. The framework provides a detailed breakdown of the activities and their costs for the sensorization of a structure using a fully wired approach or the adoption of the printed diagnostic film. Additionally, the framework considers the difference between configuring the system for Manual or Remote data acquisition. Based on the case study presented on the sensorization of a regional aircraft composite fuselage, there is a trade-off between [Formula: see text] and [Formula: see text] for the SHM options considered. The Wired–Manual case leads to the lowest [Formula: see text] with the highest [Formula: see text] , while the combination of diagnostic film with a Remote system leads to the highest [Formula: see text] and the lowest [Formula: see text]. These estimations capture the characteristics of each system and can be integrated into cost–benefit analyses for the final selection of a particular configuration. MDPI 2022-02-24 /pmc/articles/PMC8915022/ /pubmed/35270917 http://dx.doi.org/10.3390/s22051771 Text en © 2022 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 Giannakeas, Ilias N. Khodaei, Zahra Sharif Aliabadi, M. H. Ferri Structural Health Monitoring Cost Estimation of a Piezosensorized Aircraft Fuselage |
title | Structural Health Monitoring Cost Estimation of a Piezosensorized Aircraft Fuselage |
title_full | Structural Health Monitoring Cost Estimation of a Piezosensorized Aircraft Fuselage |
title_fullStr | Structural Health Monitoring Cost Estimation of a Piezosensorized Aircraft Fuselage |
title_full_unstemmed | Structural Health Monitoring Cost Estimation of a Piezosensorized Aircraft Fuselage |
title_short | Structural Health Monitoring Cost Estimation of a Piezosensorized Aircraft Fuselage |
title_sort | structural health monitoring cost estimation of a piezosensorized aircraft fuselage |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915022/ https://www.ncbi.nlm.nih.gov/pubmed/35270917 http://dx.doi.org/10.3390/s22051771 |
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