Journal of the Korean Society for Aeronautical & Space Sciences (한국항공우주학회지)

The Korean Society for Aeronautical and Space Sciences (한국항공우주학회)
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Automatic Processing Techniques of Rotorcraft Flight Data Using Data Mining

회전익항공기 운동모델 개발을 위한 데이터마이닝을 이용한 비행데이터 자동 처리 기법

  • Received : 2018.07.31
  • Accepted : 2018.09.29
  • Published : 2018.10.01
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Abstract

In general, the fidelity of the aircraft dynamic model is verified by comparison with the flight test results of the target aircraft. Therefore, the reference flight data for performance comparisons must be extracted. This process requires a lot of time and manpower to extract useful data from the vast quantity of flight test data containing various noise for comparing fidelity. In particular, processing of flight data is complex because rotorcraft have high non-linearity characteristics such as coupling and wake interference effect and perform various maneuvers such as hover and backward flight. This study defines flight data processing criteria for rotorcraft and provides procedures and methods for automated processing of static and dynamic flight data using data mining techniques. Finally, the methods presented are validated using flight data.

일반적으로 항공기 운동 모델의 충실도는 대상 항공기의 비행시험 결과와 비교하여 검증한다. 따라서 성능 비교를 위한 기준 비행 데이터를 추출하는데, 각종 잡음이 포함된 방대한 양의 비행데이터를 처리하는 것은 많은 인력과 시간이 소요된다. 특히 회전익항공기는 축간 커플링 효과와 후류 간섭 효과 등으로 비선형성이 큰 특성을 가지고 있으며, 제자리 비행, 후진 비행 등의 다양한 기동을 수행하므로 비행 데이터를 처리하는 것이 복잡하다. 본 연구에서는 회전익항공기의 비행 데이터 처리 기준을 정의하고, 데이터마이닝 기법을 이용한 정적 및 동적 비행 데이터 자동 처리를 위한 절차와 방법을 제시한다. 최종적으로 비행데이터를 사용하여 제시한 방법을 검증한다.

Keywords

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