Governed by: Ministry of Industry and Information Technology of the People's Republic of China
Sponsored by: Northwestern Polytechnical University  Chinese Society Aeronautics and Astronautics
Address: Aviation Building,Youyi Campus, Northwestern Polytechnical University
Risk Analysis of Runway Excursion Event Based on QAR Flight Data
Author:
Affiliation:

Civil Aviation University of China

Clc Number:

V19

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    The QAR(Quick Access Recorder) data can reflect the aircraft status and most of the flight operation process, so it can be used to analyze the risk of runway excursion events. Therefore, based on the QAR data, the risk analysis for runway excursion is performed. The QAR data is divided into three categories: flight status, operation instructions and information, so as to analyze the status of the aircraft in the three stages of take-off run, landing and landing run. Through the operating characteristics reflected by the QAR data, combined with the SOP (standard operating procedures), the operations that exceed the normal data and do not conform to the standard operations can be deduced, and the risk factors affecting the normal flight are obtained. Based on the 2-4 model of behavior safety, the risk assessment index system of runway excursion can be established. Based on the causative mechanism of an accident, focusing on the analysis of operational characteristics and human factors, the risk prevention and control measures for overshoot runway excursion are proposed. The results show that, through the analysis of flight data and flight operation characteristics, the countermeasures and suggestions are put forward for runway excursion, which can effectively improve the safety of operation for flight. And theoretical basis for improving the safe operation of runway excursion is provided.

    Reference
    Related
    Cited by
Get Citation

Qi Xinge, Bi Sheng, Zhang nan, Wang Lei. Risk Analysis of Runway Excursion Event Based on QAR Flight Data[J]. Advances in Aeronautical Science and Engineering,2024,15(1):61-68

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:November 29,2022
  • Revised:March 28,2023
  • Adopted:April 11,2023
  • Online: December 04,2023
  • Published: