한국군사과학기술학회지 (Journal of the Korea Institute of Military Science and Technology)

  • 제27권1호
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  • Pages.1-7
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  • 2024
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  • 1598-9127(pISSN)
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  • 2636-0640(eISSN)
한국군사과학기술학회 (The Korea Institute of Military Science and Technology)
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진동분석을 통한 회전익 드론의 블레이드 착빙 예지

Prognosis of Blade Icing of Rotorcraft Drones through Vibration Analysis

  • 이선우 (금오공과대학교 기계공학과(항공기계전자융합공학전공)) ;
  • 도재석 (금오공과대학교 기계공학과(항공기계전자융합공학전공)) ;
  • 허장욱 (금오공과대학교 기계공학과(항공기계전자융합공학전공))
  • Seonwoo Lee (Department of Mechanical Engineering(Department of Aeronautics, Mechanical and Electronic Convergence Engineering of Mechanical Engineering), Kumoh National Institute of Technology) ;
  • Jaeseok Do (Department of Mechanical Engineering(Department of Aeronautics, Mechanical and Electronic Convergence Engineering of Mechanical Engineering), Kumoh National Institute of Technology) ;
  • Jangwook Hur (Department of Mechanical Engineering(Department of Aeronautics, Mechanical and Electronic Convergence Engineering of Mechanical Engineering), Kumoh National Institute of Technology)
  • 투고 : 2023.10.17
  • 심사 : 2024.01.05
  • 발행 : 2024.02.05
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초록

Weather is one of the main causes of aircraft accidents, and among the phenomena caused by weather, icing is a phenomenon in which an ice layer is formed when an object exposed to an atmosphere below a freezing temperature collides with supercooled water droplets. If this phenomenon occurs in the rotor blades, it causes defects such as severe vibration in the airframe and eventually leads to loss of control and an accident. Therefore, it is necessary to foresee the icing situation so that it can ascend and descend at an altitude without a freezing point. In this study, vibration data in normal and faulty conditions was acquired, data features were extracted, and vibration was predicted through deep learning-based algorithms such as CNN, LSTM, CNN-LSTM, Transformer, and TCN, and performance was compared to evaluate blade icing. A method for minimizing operating loss is suggested.

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과제정보

본 논문은 과학기술정보통신부 및 정보통신기획평가원의 지역지능화혁신인재양성사업(Grand ICT연구센터, IITP-2023-2020-0-01612)의 연구결과로 개발된 결과물이며, 이에 감사드립니다.

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