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The Construction of an Aircraft Loss of Control Risk Indicator Monitoring System During the Takeoff Phase Based on QAR Data

  • Xuanlin Wu*
  • , Jingru Han
  • , Yang Jiao
  • , Xuyun Fu
  • *Corresponding author for this work
  • Harbin Institute of Technology Weihai
  • Academy of Civil Aviation Science and Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The fatal risk of aircraft loss of control is considered a primary concern in aviation safety, yet an effective indicator monitoring system is currently lacking. This study analyzes the entire takeoff process of civil aviation aircraft and constructs an indicator monitoring system specifically designed to monitor aircraft loss of control risk during the takeoff phase, based on a mechanism model. The proposed indicator monitoring system calculates risk scores by selecting QAR parameters, offering a comprehensive assessment of the risk of aircraft loss of control events during takeoff. This indicator monitoring system provides an objective and thorough risk evaluation and serves as a guide for the formulation of risk management measures.

Original languageEnglish
Title of host publicationProceedings of the 5th International Conference on Artificial Intelligence and Computer Engineering, ICAICE 2024
PublisherAssociation for Computing Machinery, Inc
Pages134-138
Number of pages5
ISBN (Electronic)9798400718007
DOIs
StatePublished - 21 Mar 2025
Externally publishedYes
Event5th International Conference on Artificial Intelligence and Computer Engineering, ICAICE 2024 - Wuhu, China
Duration: 8 Nov 202410 Nov 2024

Publication series

NameProceedings of the 5th International Conference on Artificial Intelligence and Computer Engineering, ICAICE 2024

Conference

Conference5th International Conference on Artificial Intelligence and Computer Engineering, ICAICE 2024
Country/TerritoryChina
CityWuhu
Period8/11/2410/11/24

Keywords

  • Indicator Monitoring System
  • Loss of Control
  • QAR Data
  • Risk Assessment

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