A distributed aircraft ice detection method based on φ-OTDR system and FBG array

Aircraft icing poses a serious threat to flight safety. In response to the problem of limited sensing range and susceptibility to external interference of traditional ice sensors, a distributed aircraft ice detection method based on phase-sensitive optical time-domain reflectometer (φ-OTDR) system and fiber Bragg grating (FBG) array is proposed, in which a mapping relation between wing vibration frequency and its icing state is established. Experiments have shown that the system can effectively measure vibration signal of piezoelectric transducer (PZT) with a signal-to-noise ratio (SNR) over 51.58 dB. In a wind icing tunnel, an experiment of a complete icing and de-icing process on a wing model was conducted, which shows that by measuring the vibration frequency of the wing model, its icing state can be detected.

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Publication Details

Published
2024-08-16
DOI
https://doi.org/10.1117/12.3040211
Citations
1
Primary Topic
Icing and De-icing Technologies
Type
article
Field-Weighted Citation Impact
1.30
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article

A distributed aircraft ice detection method based on φ-OTDR system and FBG array

Jun Gao, Xin Gui, Zhengying Li, Ning Jiang
1 citations
Icing and De-icing Technologies
1.30
article

A distributed aircraft ice detection method based on φ-OTDR system and FBG array

Jun Gao, Xin Gui, Zhengying Li, Ning Jiang
article en
1 citations

Abstract

Aircraft icing poses a serious threat to flight safety. In response to the problem of limited sensing range and susceptibility to external interference of traditional ice sensors, a distributed aircraft ice detection method based on phase-sensitive optical time-domain reflectometer (φ-OTDR) system and fiber Bragg grating (FBG) array is proposed, in which a mapping relation between wing vibration frequency and its icing state is established. Experiments have shown that the system can effectively measure vibration signal of piezoelectric transducer (PZT) with a signal-to-noise ratio (SNR) over 51.58 dB. In a wind icing tunnel, an experiment of a complete icing and de-icing process on a wing model was conducted, which shows that by measuring the vibration frequency of the wing model, its icing state can be detected.

Wuhan University of Technology (CN)
Openalex Percentile: Top 13%
Icing and De-icing Technologies
1.30
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