Refining Fault Trees for Accurate Risk Assessment of Unmanned Aerial Systems (UAS)

Leung, Tszhim.

Abstract: Unmanned aerial systems (UAS) are unlike most of the aircraft that currently operate in the National Airspace because they lack human pilots. Existing risk assessment methods, specifically fault trees, are not well-suited for unmanned aircraft as: (1) they cannot accurately model all the risks of the automated software in UAS and (2) are overconservative when representing general UAS fai... read more

Tufts University. Department of Mechanical Engineering.
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ID: tufts:20663
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