Flight Operation Quality Assurance (FOQA) is a crucial approach to improve safety by monitoring exceedance events. However, an exceedance event implies the monitoring parameters of flight data exceed the standard, and is determined by multiple causes such as pilots’ operations and environmental conditions. In order to provide support for the judgment of pilots’ exceedance behaviors, this paper utilized the Apriori algorithm to mine association rules in exceedance events and their correlations with environmental conditions (e.g., season and airport). Results revealed some critical associations, such as the speed exceedance during approach at an altitude of 500-50ft is more likely to result in speed exceedance during approach at an altitude below 50ft. Our findings are expected to help airlines consider exceedance events more reasonably, as well as identify the environmental factors associated with exceedance events.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Method of Analyzing Flight Exceedance Events Based on Association Rule and QAR Data


    Contributors:
    Zhang, Nan (author) / Zhao, Dingyi (author) / An, Jianing (author) / Wang, Lei (author)


    Publication date :

    2023-08-04


    Size :

    702439 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Flight operations risk diagnosis method on quick-access-record exceedance

    Mingliang, Q. / Xueyan, S. / Hong, C. | British Library Online Contents | 2011


    Risk Cognition Variables and Flight Exceedance Behaviors of Airline Transport Pilots

    Wang, Lei / Zhang, Jingyi / Sun, Hui et al. | British Library Conference Proceedings | 2018




    Jimsphere wind and turbulence exceedance statistics

    Adelfang, S. I. / Court, A. | TIBKAT | 1972