A Multi-Level Decision Fusion Strategy for Condition Based Maintenance of Composite Structures
AbstractIn 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
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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.
Sharif Khodaei Z, Aliabadi M. A Multi-Level Decision Fusion Strategy for Condition Based Maintenance of Composite Structures. Materials. 2016; 9(9):790.Chicago/Turabian Style
Sharif Khodaei, Zahra; Aliabadi, M.H. 2016. "A Multi-Level Decision Fusion Strategy for Condition Based Maintenance of Composite Structures." Materials 9, no. 9: 790.
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