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Characteristics Analysis of Accident Factors of UK Civil Unmanned Aircraft Using SHELL Model and HFACS

SHELL 모델과 HFACS를 활용한 영국 민간 무인 항공기 사고 요인 특징 분석

  • 김도윤 (한국항공대학교 일반대학원 항공운항관리학과) ;
  • 장조원 (한국항공대학교 항공운항학과)
  • Received : 2023.10.04
  • Accepted : 2024.02.22
  • Published : 2024.03.31

Abstract

The unmanned aerial vehicle industry has developed a lot, but the possibility of accidents is increasing due to potential risks. In this study, SHELL models and HFACS were used to analyze unmanned aerial vehicle accidents in the UK and to identify the main causes and characteristics of accidents. The main cause analyzed by the SHELL model was identified as an abnormality in the alarm system. The main cause of the accident analyzed by HFACS was identified as the technical environment. The common cause identified by the SHELL model and HFACS was identified as a mechanical problem of unmanned aerial vehicles. This is due to the lack of accurate information or functionality of the alarm system in the operator interface, which often prevents the operator from responding to sensitive information. Therefore, in order to prevent civil UAV accidents, the stability and reliability of the system must be secured through regular inspections of the UAV system and continuous software updates. In addition, an ergonomic approach considering human interfaces is needed when developing technologies.

Keywords

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