Detecting Aircraft Performance Anomalies from Cruise Flight Data

  title={Detecting Aircraft Performance Anomalies from Cruise Flight Data},
  author={Eric Chu and Dimitry Gorinevsky and Stephen P. Boyd},
We propose an approach to detecting anomalies from aircraft cruise flight data. The detection is based on a model learned from the historical data of a fleet of aircraft. For a variety of cruise flight conditions with and without turbulence, we validate the approach using a FOQA dataset generated by a NASA flight simulator. We identify a regression model that maps the flight conditions and aircraft control inputs into accelerations (linear and rotational). Anomalies are detected as outliers… CONTINUE READING
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