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    NARX models for simulation of the start-up operation of a single-shaft gas turbine

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    Author
    Asgari, H.
    Chen, X.Q.
    Morini, M.
    Pinelli, M.
    Sainudiin, R.
    Spina, P.R.
    Venturini, M.
    Date
    2016
    Permanent Link
    http://hdl.handle.net/10092/12049

    In this study, nonlinear autoregressive exogenous (NARX) models of a heavy-duty single-shaft gas turbine (GT) are developed and validated. The GT is a power plant gas turbine (General Electric PG 9351FA) located in Italy. The data used for model development are three time series data sets of two different maneuvers taken experimentally during the start-up procedure. The resulting NARX models are applied to three other experimental data sets and comparisons are made among four significant outputs of the models and the corresponding measured data. The results show that NARX models are capable of satisfactory prediction of the GT behavior and can capture system dynamics during start-up operation.

    Subjects
    Gas turbine
     
    black-box
     
    neural network
     
    NARX model
     
    modeling
     
    simulation
     
    start-up
     
    Field of Research::09 - Engineering::0913 - Mechanical Engineering::091302 - Automation and Control Engineering
     
    Field of Research::09 - Engineering::0913 - Mechanical Engineering::091307 - Numerical Modelling and Mechanical Characterisation
     
    Field of Research::09 - Engineering::0913 - Mechanical Engineering::091305 - Energy Generation, Conversion and Storage Engineering
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    • Engineering: Journal Articles [1026]
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