Abstract In this paper, a post-operational detection method based on functional principal component analysis and clustering is presented and compared with regard to designed operational criteria. The methodology computes an atypical scoring on a sliding window. It enables not only to detect but also to localize where trajectories deviate statistically from the others. The algorithm is applied to the total energy management, estimated from ground-based data, during approach and landing. The detected atypical flights show non-nominal energy behaviors such as glide interceptions from above or high speed approaches. This promising methodology could help to enhance flight data analysis and safety, highlighting non-monitored behaviors.

    Highlights The FPCA methodology enables the detection of relevant atypical energy behaviours. Non monitored behaviors and potential safety threats are highlighted. The method has anticipation properties on atypical values and variations.


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    Title :

    Aircraft atypical approach detection using functional principal component analysis


    Contributors:


    Publication date :

    2020-02-13




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English