Data gathered from Gas Turbine Sensors needs to be classified. This data is needed to create mathematical models which can be used by Fuel Control System to analyze when one or more parameters of gas turbine is under or off shooting. To reach a model which can simulate real-time working of gas turbine, the nonlinear transfer functions of gas turbines are to be given boundary conditions, and performance is optimized by analyzing change in behavior and hence changing gain for linearized transfer function. Errors are then introduced in working of gas turbine on Supervisory, demand and output level. These errors cause transients to increase and power balance to falter, are rectified via mathematical models created from analyzed data and predicts major failures which are probable to occur in future.


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    Titel :

    Gas turbine fuel systems and data analytics


    Beteiligte:
    Arshad, Waleed (Autor:in) / Khalid, Usman (Autor:in)


    Erscheinungsdatum :

    01.11.2017


    Format / Umfang :

    344215 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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