▓ Developed a method to detect anomalous flights using cluster analysis • Advantages ▓ Minimum prior knowledge of data required S Identify multiple nominal data patterns • Limitation ▓ Current transformation method is only applicable to flight phases start or end with a specific event ▓ Applied the proposed method on a dataset of B777 flights for takeoff phase and approach phase ▓ Initial evaluation indicates that cluster analysis is a promising approach for anomaly detection in FDR/QAR data


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    Titel :

    Anomaly detection in onboard-recorded flight data using cluster analysis


    Beteiligte:
    Li, Lishuai (Autor:in) / Gariel, Maxime (Autor:in) / Hansman, R. John (Autor:in) / Palacios, Rafael (Autor:in)


    Erscheinungsdatum :

    01.10.2011


    Format / Umfang :

    941809 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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