Safety Risk Analysis in Flight Operations Quality Assurance

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.