6533b85dfe1ef96bd12be99c

RESEARCH PRODUCT

NARX Models of an Industrial Power Plant Gas Turbine

Michele BassoGroppi StefanoLaura GiarreGiovanni Zappa

subject

EngineeringNonlinear autoregressive exogenous modelbusiness.industryTurbinesSystem identificationControl engineeringNonlinear controlTurbineDistributed power generationElectric power systemNonlinear systemAutoregressive modelControl and Systems EngineeringSteam turbineControl theoryElectrical and Electronic EngineeringbusinessGas turbines

description

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.

yearjournalcountryeditionlanguage
2005-07-01
10.1109/tcst.2004.843129http://hdl.handle.net/10447/21944