Qualitative classification of descent phases in commercial flight data

Authors:
Edward Smart;Honghai Liu;Chris Jesse;David Brown
Affiliations:
Institute of Industrial Research, University of Portsmouth, PO1 3QL, England, UK.;Institute of Industrial Research, University of Portsmouth, PO1 3QL, England, UK.;Institute of Industrial Research, University of Portsmouth, PO1 3QL, England, UK.;Institute of Industrial Research, University of Portsmouth, PO1 3QL, England, UK
Venue:
International Journal of Computational Intelligence Studies
Year:
2009

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Abstract

Flight data from commercial aircraft in the descent is analysed using one-class classification techniques to identify possible unstable approaches. The method considers snapshots of flight parameters at certain heights in the descent and identifies any abnormalities. Combination rules are used to analyse the flight as a whole and it is found that it is possible to detect abnormal flights with a good degree of accuracy.