A Multi-Level Decision Fusion Strategy for Condition Based Maintenance of Composite Structures

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Title: A Multi-Level Decision Fusion Strategy for Condition Based Maintenance of Composite Structures
Author(s): Sharif Khodaei, Z
Aliabadi, MH
Item Type: Journal Article
Abstract: In this work, a multi-level decision fusion strategy is proposed which weighs the Value of Information (VoI) against the intended functions of a Structural Health Monitoring (SHM) system. This paper presents a multi-level approach for three different maintenance strategies in which the performance of the SHM systems is evaluated against its intended functions. Level 1 diagnosis results in damage existence with minimum sensors covering a large area by finding the maximum energy difference for the guided waves propagating in pristine structure and the post-impact state; Level 2 diagnosis provides damage detection and approximate localization using an approach based on Electro-Mechanical Impedance (EMI) measures, while Level 3 characterizes damage (exact location and size) in addition to its detection by utilising a Weighted Energy Arrival Method (WEAM). The proposed multi-level strategy is verified and validated experimentally by detection of Barely Visible Impact Damage (BVID) on a curved composite fuselage panel.
Publication Date: 21-Sep-2016
Date of Acceptance: 13-Sep-2016
URI: http://hdl.handle.net/10044/1/41787
DOI: https://dx.doi.org/10.3390/ma9090790
ISSN: 1996-1944
Publisher: MDPI
Journal / Book Title: Materials
Volume: 9
Issue: 9
Copyright Statement: c 2016 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 (http://creativecommons.org/licenses/by/4.0/).
Sponsor/Funder: Commission of the European Communities
Funder's Grant Number: AESZ_P37406
Keywords: 03 Chemical Sciences
09 Engineering
Publication Status: Published
Article Number: 790
Open Access location: http://www.mdpi.com/1996-1944/9/9/790
Appears in Collections:Aeronautics



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