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Semantic Scholar · Article

Safety Risk Analysis in Flight Operations Quality Assurance

Published 2012-01-01 3 authors

Attribution

This is the abstract and citation. Full text lives at Semantic Scholar — we link out rather than host. All credit to the authors and Semantic Scholar.

Abstract

Verbatim from Semantic Scholar. Not paraphrased, not summarized.

Abstract Flight data recorded by Quick Access Recorder (QAR) is gradually used to analyze pilot's operations quality, especially for the QAR exceedances. In this paper, we use the values of flight parameters to construct the state-space of pilots’ operations. A flight is seen as a point in it. Basing on the distributions of normal flights and flights triggering an exceedance, risk analysis is carried out to divide this state-space into dangerous and safety regions. A multi-objective programming is established to analyze the safety risk in pilot's operations and we use Particle Swarm Optimization (PSO) to find the boundaries of regions-of-interest. The feasibility of this method is validated through experiments with real flight data.

Authors

  • Shao Xueyan
  • Qiao Mingliang
  • Gao Min-gang

Keywords

  • Engineering

Citation: Shao Xueyan, Qiao Mingliang, Gao Min-gang (2012). Safety Risk Analysis in Flight Operations Quality Assurance. Semantic Scholar ID 1697c8b083d53fa449bce02f63b8be23b4047c85. https://doi.org/10.1016/J.SEPRO.2012.04.013 ↗