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Materials 2016, 9(9), 790; doi:10.3390/ma9090790

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

Department of Aeronautics, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
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Author to whom correspondence should be addressed.
Academic Editor: Dirk Lehmhus
Received: 11 August 2016 / Revised: 5 September 2016 / Accepted: 13 September 2016 / Published: 21 September 2016
(This article belongs to the Special Issue Advances in Structural Health Monitoring for Aerospace Structures)
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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. View Full-Text
Keywords: SHM; condition based monitoring; guided waves; electro-mechanical impedance; piezoelectric transducers; damage detection and characterization; maintenance strategy SHM; condition based monitoring; guided waves; electro-mechanical impedance; piezoelectric transducers; damage detection and characterization; maintenance strategy
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Sharif Khodaei, Z.; Aliabadi, M. A Multi-Level Decision Fusion Strategy for Condition Based Maintenance of Composite Structures. Materials 2016, 9, 790.

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