NARX Models of an Industrial Power Plant Gas Turbine

Laura Giarre, Stefano Groppi, Basso, Zappa

    Risultato della ricerca: Articlepeer review

    56 Citazioni (Scopus)


    This brief reports the experience with the identification of a nonlinear autoregressive with exogenous inputs (NARX) model for the PGT10B1 power plant gas turbine manufactured by General Electric-Nuovo Pignone. Two operating conditions of the turbine are considered: isolated mode and nonisolated mode. The NARX model parameters are estimated iteratively with a Gram-Schmidt procedure, exploiting both forward and stepwise regression. Many indexes have been evaluated and compared in order to perform subset selection in the functional basis set and determine the structure of the nonlinear model. Various input signals (from narrow to broadband) for identification and validation have been considered. © 2005 IEEE.
    Lingua originaleEnglish
    pagine (da-a)599-604
    Numero di pagine6
    RivistaIEEE Transactions on Control Systems Technology
    Stato di pubblicazionePublished - 2005

    All Science Journal Classification (ASJC) codes

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