a multi-level decision fusion strategy for condition based maintenance of composite structures

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ID: 254695
2016
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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.
Reference Key
khodaei2016materialsa Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Zahra Sharif Khodaei;M.H. Aliabadi
Journal Nature Materials
Year 2016
DOI
10.3390/ma9090790
URL
http://www.mdpi.com/1996-1944/9/9/790
Keywords
shm guided waves electronics civil engineering (general)microscopydescriptive and experimental mechanics nuclear engineeringengineering (general) maintenance strategytechnologyelectrical engineering

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