▓ 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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    Title :

    Anomaly detection in onboard-recorded flight data using cluster analysis


    Contributors:


    Publication date :

    2011-10-01


    Size :

    941809 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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