Using novelty detection methods to identify abnormalities in aircraft flight data

Edward Philip Smart, David Brown

Research output: Contribution to conferencePaperpeer-review

Abstract

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.
Original languageEnglish
Pages1-6
Publication statusPublished - 8 Sep 2009
EventUKCI 2009 - University of Nottingham, Nottingham, United Kingdom
Duration: 7 Sep 20099 Sep 2009

Conference

ConferenceUKCI 2009
Country/TerritoryUnited Kingdom
CityNottingham
Period7/09/099/09/09

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