Control Charts using Parametric Empirical Bayes (PEB) based on a Robust Cauchy prior and Poisson likelihood have proven useful for automatically detecting spikes in safety-related flight operations event rates. As part of the monitoring work of the Aviation Safety Information Analysis and Sharing (ASIAS) program, a joint government-aviation industry program, many hundreds of time series are being monitored. Automated detection methods are a necessity, and control charts a logical choice of tool, but basic control charts are problematic. For example, proportions charts produce excessive alerts. The robust Cauchy-Poisson PEB approach using numerical optimization is efficiently producing manageable numbers of relevant alerts while remaining relatively simple to administer and interpret.


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    Titel :

    Robust Parametric Empirical Bayes based anomaly detection for flight safety events


    Beteiligte:
    Yelundur, Anil (Autor:in) / Campbell, Keith (Autor:in)


    Erscheinungsdatum :

    01.04.2013


    Format / Umfang :

    493737 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Robust Parametric Empirical Bayes based anomaly detection for flight safety events

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