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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

21 Scopus citations

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 Rayleighbackscattering 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.

Original languageEnglish
Title of host publication24th International Conference on Optical Fibre Sensors, OFS 2015
EditorsHypolito Jose Kalinowski, Jose Luis Fabris, Wojtek J. Bock
PublisherSPIE
ISBN (Electronic)9781628418392
DOIs
StatePublished - 2015
Externally publishedYes
Event24th International Conference on Optical Fibre Sensors, OFS 2015 - Curitiba, Brazil
Duration: 28 Sep 20152 Oct 2015

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9634
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference24th International Conference on Optical Fibre Sensors, OFS 2015
Country/TerritoryBrazil
CityCuritiba
Period28/09/152/10/15

Bibliographical note

Publisher Copyright:
© 2015 SPIE.

Keywords

  • Fiber bragg grating
  • Fiber optic sensors
  • Rayleigh backscattering
  • Structural health monitoring

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