Detection of Influential Features of Hard Landing Based on QAR Data

Based on the static (scalar measurement) and aggregated QAR data, the group carried out the quantile regression to explore the influential features that affects the maximum vertical acceleration during landing and used the sufficient dimension reduction methods to verify the findings. Nine features were suggested to be influential and the patterns how they affect the hard landing were analyzed.