Paper
28 September 2015 Structural health monitoring of composite-based UAVs using simultaneous fiber optic interrogation by static Rayleigh-based distributed sensing and dynamic fiber Bragg grating point sensors
Moshe Tur, Ido Sovran, Arik Bergman, Avi Motil, Osher Shapira, Uri Ben-Simon, Iddo Kressel
Author Affiliations +
Proceedings Volume 9634, 24th International Conference on Optical Fibre Sensors; 96340P (2015) https://doi.org/10.1117/12.2195173
Event: International Conference on Optical Fibre Sensors (OFS24), 2015, Curitiba, Brazil
Abstract
Embedded fiber-optic strain sensing networks for airworthy assessment of operational Unmanned Aerial Vehicles (UAVs) are presented. Sensing is based on in-flight fiber Bragg grating technology, as well as on on-ground Rayleigh backscattering distributed strain sensing. While the in-flight instrumentation monitors loads, looking for excessive values, the Rayleigh-based technique is used for high spatial resolution strain distribution along the UAV wings, under prescribed loading. Consistency of measurements over time indicates structural integrity. Simultaneous strain measurements using both distributed Rayleigh and fiber Bragg gratings, on the same fiber, promises to combine high spatial resolution, though practically static measurements with dynamic, though discrete ones.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Moshe Tur, Ido Sovran, Arik Bergman, Avi Motil, Osher Shapira, Uri Ben-Simon, and Iddo Kressel "Structural health monitoring of composite-based UAVs using simultaneous fiber optic interrogation by static Rayleigh-based distributed sensing and dynamic fiber Bragg grating point sensors", Proc. SPIE 9634, 24th International Conference on Optical Fibre Sensors, 96340P (28 September 2015); https://doi.org/10.1117/12.2195173
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Cited by 5 scholarly publications.
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KEYWORDS
Fiber Bragg gratings

Unmanned aerial vehicles

Backscatter

Fiber optics sensors

Sensors

Structural health monitoring

Fiber optics

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