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Tytuł artykułu

Modelling of the acoustic wave scattering on the aircraft surface using the boundary element method

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Sound localization tools are important in the environmental protection and the human searches. The article is one of the stages of the implementation of the concept of using aircraft to localize sound sources. The use of a fixed-wing aircraft instead of a multirotor would increase the total flight time, and expand the surveyed area. It is important to determine the most favourable positions of the receivers on the surface of the aircraft. The scattering effects of the sound waves coming from the ground source and aircraft engine on the acoustic field on the aircraft surface are not homogeneous. In the article the authors present the modelling of the scattering of the sound waves over the airplane surface with the usage of boundary element methods. After determining the effects from the sound source on earth and from the aircraft engine the conclusion was made, that the influence from the engine noise is greater than that from the ground source, and in order to localize the low amplitude signals, the aircraft need to glide. Considering only the effects of the ground source, the optimal areas for the microphones placement were determined.
Rocznik
Strony
art. no. 2023107
Opis fizyczny
Bibliogr. 12 poz., il. kolor.
Twórcy
  • AGH University of Science and Technology, Department of Power Systems and Environmental Protection Facilities, 30 Mickiewicza Av., 30-059 Kraków, Poland
  • AGH University of Science and Technology, Department of Power Systems and Environmental Protection Facilities, 30 Mickiewicza Av., 30-059 Kraków, Poland
  • AGH University of Science and Technology, Department of Power Systems and Environmental Protection Facilities, 30 Mickiewicza Av., 30-059 Kraków, Poland
Bibliografia
  • 1. J. Martinez-Carranza, C. Rascon; A Review on Auditory Perception for Unmanned Aerial Vehicles; Sensors, 2020, 20, 7276; DOI: https://doi.org/10.3390/s20247276
  • 2. Y. Go, J. Choi; An Acoustic Source Localization Method Using a Drone-Mounted Phased Microphone Array, Drones, 2021, 5, 75; DOI: https://doi.org/10.3390/ drones5030075
  • 3. M. Clayton, L. Wang, A. Mcpherson et al.; An embedded multichannel sound acquisition system for drone audition; ArXiv, 2021, abs/2101.06795; DOI: arXiv:2101.06795v1
  • 4. T. Ishiki, K. Washizaki, M. Kumon; Evaluation of Microphone Array for Multirotor Helicopters; Journal of Robotics and Mechatronics, 2017, 29, 168-176; DOI: 10.20965/jrm.2017.p0168
  • 5. D. Salvati, C. Drioli, G. Ferrin and G. L. Foresti; Acoustic Source Localization From Multirotor UAVs; IEEE Transactions on Industrial Electronics, 2020, 67, 8618-8628; DOI: 10.1109/TIE.2019.2949529
  • 6. M. Strauss, P. Mordel, V. Miguet et al.; DREGON: Dataset and Methods for UAV-Embedded Sound Source Localization; IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018, 1-8; DOI: 10.1109/IROS.2018.8593581
  • 7. A. Qayyum, K. Hassan, A. Anika, et al.;DOANet: a deep dilated convolutional neural network approach for search and rescue with drone-embedded sound source localization; EURASIP Journal on Audio, Speech, and Music Processing, 2020, 16; DOI: https://doi.org/10.1186/s13636-020-00184-2
  • 8. S. Kirkup; The boundary element method in acoustic, 2nd ed., Integrated Sound Software,1998
  • 9. S. Kirkup; The Boundary Element Method in Acoustics: A Survey; Applied Sciences. 2019, 9(8), 1642; DOI: 10.3390/app9081642
  • 10. S. Chandler-Wilde, S. Langdon; Boundary element methods for acoustics; University of Reading, 2007
  • 11. A Jaworski; Metoda elementów brzegowych - zagadnienia potencjalne, 1st ed.; Oficyna wydawnicza PW, Warsaw, Poland, 2000
  • 12. U. Iemma, V. Marchese, R. Gori; AcouSTO - A new open-source project for acoustic simulation; Proceedings of the Sixteenth International Congress on Sound and Vibration, Krakow, Poland, 5-9.07.2009
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-53970cf8-8295-4f73-bb5e-69d6b6cbd268
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