Using novelty detection methods to identify abnormalities in aircraft flight data

Edward Philip Smart; David Brown

Using novelty detection methods to identify abnormalities in aircraft flight data

Centre of Operational Research and Decision Analysis

Research output: Contribution to conference › Paper › peer-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 language	English
Pages	1-6
Publication status	Published - 8 Sept 2009
Event	UKCI 2009 - University of Nottingham, Nottingham, United Kingdom Duration: 7 Sept 2009 → 9 Sept 2009

Conference

Conference	UKCI 2009
Country/Territory	United Kingdom
City	Nottingham
Period	7/09/09 → 9/09/09

Cite this

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title = "Using novelty detection methods to identify abnormalities in aircraft flight data",

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.",

author = "Smart, \{Edward Philip\} and David Brown",

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note = "UKCI 2009 ; Conference date: 07-09-2009 Through 09-09-2009",

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AB - 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.

M3 - Paper

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T2 - UKCI 2009

Y2 - 7 September 2009 through 9 September 2009

ER -

Using novelty detection methods to identify abnormalities in aircraft flight data

Abstract

Conference

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