Structural health monitoring cost estimation of piezo-sensorized aircraft fuselage
File(s)sensors-22-01771.pdf (4.04 MB)
Published version
Author(s)
Giannakeas, Ilias
Sharif Khodaei, Zahra
Aliabadi, MH
Type
Journal Article
Abstract
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 (COTC) and the added weight (WAW) 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 COTC and WAW for the SHM options considered. The Wired–Manual case leads to the lowest COTC with the highest WAW, while the combination of diagnostic film with a Remote system leads to the highest COTC and the lowest WAW. These estimations capture the characteristics of each system and can be integrated into cost–benefit analyses for the final selection of a particular configuration.
Date Issued
2022-02-24
Date Acceptance
2022-02-21
Citation
Sensors, 2022, 22 (5), pp.1-21
ISSN
1424-8220
Publisher
MDPI AG
Start Page
1
End Page
21
Journal / Book Title
Sensors
Volume
22
Issue
5
Copyright Statement
© 2022 by the authors.
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/).
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/).
License URL
Sponsor
Clean Sky Joint Undertaking
Identifier
https://www.mdpi.com/1424-8220/22/5/1771
Grant Number
671435
Subjects
0301 Analytical Chemistry
0805 Distributed Computing
0906 Electrical and Electronic Engineering
0502 Environmental Science and Management
0602 Ecology
Analytical Chemistry
Publication Status
Published
Date Publish Online
2022-02-24