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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    Title :

    Robust Parametric Empirical Bayes based anomaly detection for flight safety events


    Contributors:


    Publication date :

    2013-04-01


    Size :

    493737 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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