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1. 1. Automatic Flight Maneuver Identification Using Machine Learning Methods

   Master-uppsats, Linköpings universitet/Reglerteknik

   Författare :Camilla Bodin; [2020]
   Nyckelord :Flight; Aircraft; Machine Learning; Flight Dynamics; Classification; Supervised Learning; Support Vector Machines; Neural Networks; Logistic Regression; Feature Selection; Recursive Feature Elimination; Feature Representation; k-fold cross-validation; maneuvers; flight maneuvers;

   Sammanfattning : This thesis proposes a general approach to solve the offline flight-maneuver identification problem using machine learning methods. The purpose of the study was to provide means for the aircraft professionals at the flight test and verification department of Saab Aeronautics to automate the procedure of analyzing flight test data. LÄS MER