2021
DOI: 10.3390/s21186053
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Icing Condition Predictions Using FBGS

Abstract: Icing is a hazard which is important for the aerospace industry and which has grown over the last few years. Developing sensors that can detect the existence not only of standard icing conditions with typically small droplet size, but also of Supercooled Large Droplet (SLD) conditions is one of the most important aims in order to minimize icing hazards in the near future. In the present paper a study of the Fiber Bragg Grating Sensors’ (FBGSs) performance as a flight icing detection system that predicts the co… Show more

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Cited by 8 publications
(1 citation statement)
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“…However, each of the proposed technologies has advantages and drawbacks, and thus research is still needed both to optimize existing solutions and to find novel ones. Sensors based on physical contact are based on the influence of the ice on the surface acoustic waves [ 11 ], on the electrical parameters [ 3 ], on the latent energy [ 5 ], on the heat transfer on temperature sensors made by thermocouples [ 12 ], or by fiber Bragg gratings [ 9 , 13 ]. These sensors have the advantage of easier embedding but can lead to an underestimation or overestimation of the actual ice accumulation, being most highly sensitive to surface or near-surface contact.…”
Section: Introductionmentioning
confidence: 99%
“…However, each of the proposed technologies has advantages and drawbacks, and thus research is still needed both to optimize existing solutions and to find novel ones. Sensors based on physical contact are based on the influence of the ice on the surface acoustic waves [ 11 ], on the electrical parameters [ 3 ], on the latent energy [ 5 ], on the heat transfer on temperature sensors made by thermocouples [ 12 ], or by fiber Bragg gratings [ 9 , 13 ]. These sensors have the advantage of easier embedding but can lead to an underestimation or overestimation of the actual ice accumulation, being most highly sensitive to surface or near-surface contact.…”
Section: Introductionmentioning
confidence: 99%