Publicación:
Flight tests results of a Fiber Bragg Gratings based ice sensor

dc.contributor.authorGonzález del Val, Miguel
dc.contributor.authorFrövel, Malte
dc.contributor.funderCentre National de la Recherche Scientifique (CNRS)
dc.date.accessioned2026-01-16T08:33:12Z
dc.date.available2026-01-16T08:33:12Z
dc.date.issued2024-06-13
dc.descriptionFBG sensors are useful for fast detection according to current standards. A sensing probe was designed and manufactured The Probe was tested 40 h of Flight with an ATR 42 The Optic Fiber sensors can estimate the icing severity according to Flight Tests The optic fiber sensor can provide of information about the type of ice.
dc.description.abstractIcing has been an aeronautical industry problem for safety and for energy consumption save from the beginning of aviation. It affects the safety reducing the lift, decreasing the stall angle of attack, affecting the aircraft stability and reducing the control efficiency. The European project SENS4ICE (2019–2023) introduces a new technology based on hybridization of different detection techniques, combining indirect ice sensing with direct, using atmospheric and ice accretion sensors. In the present work a study about a Fiber Optic Detector based on latent heat that uses a Fiber Bragg Grating for measuring the surface temperature. The Fiber Optic Detector (FOD) was tested in a SAFIRE Flight Testing Platform ATR42 during 40 h of Flight testing, having Liquid Water encounters in all flights. The sensor performance and its ability for measuring the icing severity is evaluated in the paper, showing results in a representative Flight test. During Flight Test, different icing conditions were seen, adapting the detection and severity evaluations to the data seen with other reference atmospheric sensors. For ice detection Discrete Wavelet Transform (DWT) was used using different levels in order to detect all the possible events during the Flight test. The DWT ice severity assessment results were compared with a Messinger Model and with the DLR Nevzorov data in order to evaluate the precision and the sensor performance.
dc.description.peerreviewedPeerreview
dc.description.sponsorshipAirborne data was obtained using the aircraft managed by Safire, the French facility for airborne research, an infrastructure of the French National Center for Scientific Research (CNRS), Météo-France, and the French National Center for Space Studies (CNES). Distributed data are processed by SAFIRE.
dc.identifier.citationCold Regions Science and Technology 224: 104248
dc.identifier.doi10.1016/j.coldregions.2024.104248
dc.identifier.issn0165-232X
dc.identifier.otherhttps://www.sciencedirect.com/science/article/abs/pii/S0165232X24001290
dc.identifier.urihttps://hdl.handle.net/20.500.12666/1627
dc.language.isoeng
dc.publisherElsevier
dc.relationSENS4ICE 824253
dc.relation.isreferencedbyY. Cao et al. Aircraft icing: an ongoing threat to aviation safety Aerosp. Sci. Technol. (2018) G. Fortin et al. Heat and mass transfer during ice accretion on aircraft wings with an improved roughness model Int. J. Therm. Sci. (2006) M. Gonzalez et al. Fiber Bragg Grating Sensors ice detection: Methodologies and performance Sensors Actuators A Phys. (2022) I.H. Abbott et al. Theory of Wing Sections: Including a Summary of Airfoil Data (2012) A.N. Akansu Filter banks and wavelets in signal processing: a critical review Video Communicat. PACS for Med. Applicat. (1977) D.N. Anderson Manual of Scaling Methods (RTCA DO-160G) (2004) BEA Interim Report on the Accident on 1st June 2009 to the Airbus A330–203 Registered F-GZCP Operated by Air France Flight AF 447 Rio de Janeiro – Paris, Technical Report f-cp090601ae (2009) C.K. Bosetti et al. Supercooled Large Drop Icing Condition Detection System M. Bragg et al. Smart icing systems for aircraft icing safety Magalie Buguet et al. Thundercloud Electrostatic Field Measurements during the Inflight EXAEDRE Campaign and during Lightning strike to the Aircraft Atmosphere (2021)
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.license© 2024 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
dc.subjectIce sensor
dc.titleFlight tests results of a Fiber Bragg Gratings based ice sensor
dc.typeinfo:eu-repo/semantics/article
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
oaire.awardNumber824253
oaire.awardTitleSENS4ICE 824253
oaire.awardURIhttps://digitalpro.inta.es/handle/123456789/1293
relation.isAuthorOfPublicationd9240ec7-d069-4685-ad31-844546dc68a8
relation.isAuthorOfPublication.latestForDiscoveryd9240ec7-d069-4685-ad31-844546dc68a8
relation.isProjectOfPublication22b2c994-6464-4483-818f-05f8882a7d71
relation.isProjectOfPublication.latestForDiscovery22b2c994-6464-4483-818f-05f8882a7d71

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