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Noise Cancellation of Helicopter Blade Deformations Measurement by Fiber Bragg Gratings

The work presents data treatment methods aimed at eliminating the noise in the strain sensor data induced by vibrations of the helicopter blade in flight conditions. The methods can be applied in order to enhance the metrological performance of the helicopter weight estimation system based on the de...

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Autores principales: Nigmatullin, Raoul R., Agliullin, Timur, Mikhailov, Sergey, Morozov, Oleg, Sakhabutdinov, Airat, Ledyankin, Maxim, Karimov, Kamil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8230677/
https://www.ncbi.nlm.nih.gov/pubmed/34207967
http://dx.doi.org/10.3390/s21124028
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author Nigmatullin, Raoul R.
Agliullin, Timur
Mikhailov, Sergey
Morozov, Oleg
Sakhabutdinov, Airat
Ledyankin, Maxim
Karimov, Kamil
author_facet Nigmatullin, Raoul R.
Agliullin, Timur
Mikhailov, Sergey
Morozov, Oleg
Sakhabutdinov, Airat
Ledyankin, Maxim
Karimov, Kamil
author_sort Nigmatullin, Raoul R.
collection PubMed
description The work presents data treatment methods aimed at eliminating the noise in the strain sensor data induced by vibrations of the helicopter blade in flight conditions. The methods can be applied in order to enhance the metrological performance of the helicopter weight estimation system based on the deformation measurement of the main rotor blades. The experimental setup included a composite plate fixed to the vibrating stand on the one end, with six fiber-optic strain sensors attached to its surface. In this work, the procedure of the optimal linear smoothing (POLS) and 3D-invariant methods were used to obtain monotone calibration curves for each detector, thereby making it possible to distinguish the increase of load applied to the free end of the plate with an increment of 10 g. The second method associated with 3D invariants took into account 13 quantitative parameters defined as the combination of different moments and their intercorrelations up to the fourth-order inclusive. These 13 parameters allowed the calculation of the 3D surface that can serve as a specific fingerprint, differentiating one set of initial data from another one. The combination of the two data treatment methods used in this work can be applied successfully in a wide variety of applications.
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spelling pubmed-82306772021-06-26 Noise Cancellation of Helicopter Blade Deformations Measurement by Fiber Bragg Gratings Nigmatullin, Raoul R. Agliullin, Timur Mikhailov, Sergey Morozov, Oleg Sakhabutdinov, Airat Ledyankin, Maxim Karimov, Kamil Sensors (Basel) Article The work presents data treatment methods aimed at eliminating the noise in the strain sensor data induced by vibrations of the helicopter blade in flight conditions. The methods can be applied in order to enhance the metrological performance of the helicopter weight estimation system based on the deformation measurement of the main rotor blades. The experimental setup included a composite plate fixed to the vibrating stand on the one end, with six fiber-optic strain sensors attached to its surface. In this work, the procedure of the optimal linear smoothing (POLS) and 3D-invariant methods were used to obtain monotone calibration curves for each detector, thereby making it possible to distinguish the increase of load applied to the free end of the plate with an increment of 10 g. The second method associated with 3D invariants took into account 13 quantitative parameters defined as the combination of different moments and their intercorrelations up to the fourth-order inclusive. These 13 parameters allowed the calculation of the 3D surface that can serve as a specific fingerprint, differentiating one set of initial data from another one. The combination of the two data treatment methods used in this work can be applied successfully in a wide variety of applications. MDPI 2021-06-11 /pmc/articles/PMC8230677/ /pubmed/34207967 http://dx.doi.org/10.3390/s21124028 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Nigmatullin, Raoul R.
Agliullin, Timur
Mikhailov, Sergey
Morozov, Oleg
Sakhabutdinov, Airat
Ledyankin, Maxim
Karimov, Kamil
Noise Cancellation of Helicopter Blade Deformations Measurement by Fiber Bragg Gratings
title Noise Cancellation of Helicopter Blade Deformations Measurement by Fiber Bragg Gratings
title_full Noise Cancellation of Helicopter Blade Deformations Measurement by Fiber Bragg Gratings
title_fullStr Noise Cancellation of Helicopter Blade Deformations Measurement by Fiber Bragg Gratings
title_full_unstemmed Noise Cancellation of Helicopter Blade Deformations Measurement by Fiber Bragg Gratings
title_short Noise Cancellation of Helicopter Blade Deformations Measurement by Fiber Bragg Gratings
title_sort noise cancellation of helicopter blade deformations measurement by fiber bragg gratings
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8230677/
https://www.ncbi.nlm.nih.gov/pubmed/34207967
http://dx.doi.org/10.3390/s21124028
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