A computerized intelligent cockpit aid can increase flight-crew awareness of wind shear, improving avoidance decisions. The FAA Windshear Training Aid (WTA) provides guidelines for assessing the risk of wind shear encounter from meteorological evidence. Use of these guidelines in the cockpit is complicated by uncertainty surrounding meteorological knowledge of wind shear. Bayesian network representation is discussed as a means of modeling this uncertain knowledge in a computer. A probabilistic model of the WTA guidelines using Bayesian network representation is presented. This model combines evidence from sources of varying reliability and incorporates results from meteorological studies of wind shear. The probabilistic model can provide flight crews with meaningful estimates of risk to aid their decisions, using evidence from a variety of sources and a base of meteorological knowledge.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Probabilistic reasoning for intelligent wind shear avoidance


    Contributors:

    Conference:

    AIAA Guidance, Navigation and Control Conference ; 1990 ; Portland, OR, United States


    Publication date :

    1990-01-01


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English




    Probabilistic reasoning for intelligent wind shear avoidance

    Stratton, D. A. / Stengel, Robert F. | NTRS | 1992


    Probabilistic reasoning for intelligent wind shear avoidance

    STRATTON, D. A. / STENGEL, ROBERT F. | AIAA | 1992


    Expert System for Wind Shear Avoidance

    R. F. Stengel / D. A. Stratton | NTIS | 1990


    Expert System for Wind Shear Avoidance

    R. F. Stengel / D. A. Stratton | NTIS | 1990


    An expert system for wind shear avoidance

    Stengel, Robert F. / Stratton, D. Alexander | NTRS | 1990