Event-based Risk Quantification in Flight Data Analysis

Beschreibung

This dissertation presents a novel approach for quantifying aviation risks of an individual flight based on Flight Data Analysis. The new method is based on the interaction between aircraft state and environmental conditions. While the aircraft state can be measured by flight data, the environmental conditions have to be statistically modelled. Due to the different nature of aviation risks, different statistical models had to be developed to cover the entire risk spectrum. The new method has been verified by means of three examples: runway overrun, midair collision induced by the Traffic Collision Avoidance System (TCAS), and turbulence induced injuries.

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Max Butter

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Flight Data Monitoring Risk Assessment Flight Safety Event

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