A multi-level decision fusion strategy for condition based maintenance of composite structures
File(s)materials-09-00790.pdf (5.52 MB)
Published version
OA Location
Author(s)
Sharif Khodaei, Z
Aliabadi, MH
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.
Date Issued
2016-09-21
Date Acceptance
2016-09-13
Citation
Materials, 2016, 9 (9)
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/).
article distributed under the terms and conditions of the Creative Commons Attribution
(CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
License URL
Sponsor
Commission of the European Communities
Clean Sky Joint Undertaking
Identifier
https://www.mdpi.com/1996-1944/9/9/790/htm
Grant Number
AESZ_P37406
671435
Subjects
Science & Technology
Technology
Materials Science, Multidisciplinary
Materials Science
SHM
condition based monitoring
guided waves
electro-mechanical impedance
piezoelectric transducers
damage detection and characterization
maintenance strategy
DAMAGE DETECTION
SENSOR
IDENTIFICATION
PANELS
SHM
condition based monitoring
damage detection and characterization
electro-mechanical impedance
guided waves
maintenance strategy
piezoelectric transducers
03 Chemical Sciences
09 Engineering
Publication Status
Published
Article Number
790
Date Publish Online
2016-09-21