Using novelty detection methods to identify abnormalities in aircraft flight data
Research output: Contribution to conference › Paper › peer-review
A two phase novelty detection approach to locating abnormalities in aircraft flight data is presented, providing a framework with which to locate the heights at which they occur and quantitatively assess their impact on the flight. The 1st phase identifies abnormalities at certain heights in a flight and the second phase compares all flights to identify the most abnormal. Results are validated against an existing event based method.
|Publication status||Published - 8 Sep 2009|
|Event||UKCI 2009 - University of Nottingham, Nottingham, United Kingdom|
Duration: 7 Sep 2009 → 9 Sep 2009
|Period||7/09/09 → 9/09/09|