Add to ORKGThe NARMAX (Nonlinear Auto Regressive Moving Average model with eXogenous inputs) approach has been used to analyse the dynamics of a gas turbine engine. The fuel flow-shaft speed relationship is analysed by identifying both time and frequency domain models of the system. The frequency domain analysis is studied by mapping the discrete-time NARMAX models into the Generalised Frequency Response Functions (GFRF's) to reveal the nonlinear coupling between the various input spectral components and the energy transfer mechanisms in the system. A continuous-time nonlinear differential equation model is also estimated using the Generalised Frequency Response Functions
This brief reports the experience with the identification of a nonlinear autoregressive with exogeno...
This brief reports the experience with the identification of a nonlinear autoregressive with exogeno...
The linear multivariable modelling of an aircraft gas turbine is presented. A frequency-domain ident...
The NARMAX (Nonlinear Auto Regressive Moving Average model with eXogenous inputs) approach has been...
The work reported in this thesis is concerned with the Condition Monitoring by using Generalised Fre...
Abstract: In this paper the orthogonal estimation algorithm is used to estimate a NARMAX model for a...
In this paper the orthogonal estimation algorithm is used to estimate a NARMAX model for an aircraft...
In this study, nonlinear autoregressive exogenous (NARX) models of a heavy-duty single-shaft gas tur...
This paper presents, for the first time, an analysis of space plasma turbulence based on the NARMAX ...
Both continuous and discrete time transfer functions of nonlinear systems are analysed and interpret...
In this study, nonlinear autoregressive exogenous (NARX) models of a heavy-duty single-shaft gas t...
In this study, nonlinear autoregressive exogenous (NARX) models of a heavy-duty single-shaft gas tu...
In this paper, an analysis of the energy transfer properties of nonlinear systems in the frequency d...
This paper documents the set-up and validation of nonlinear autoregressive exogenous (NARX) models o...
New results about the bound characteristics of both the generalised frequency response functions (GF...
This brief reports the experience with the identification of a nonlinear autoregressive with exogeno...
This brief reports the experience with the identification of a nonlinear autoregressive with exogeno...
The linear multivariable modelling of an aircraft gas turbine is presented. A frequency-domain ident...
The NARMAX (Nonlinear Auto Regressive Moving Average model with eXogenous inputs) approach has been...
The work reported in this thesis is concerned with the Condition Monitoring by using Generalised Fre...
Abstract: In this paper the orthogonal estimation algorithm is used to estimate a NARMAX model for a...
In this paper the orthogonal estimation algorithm is used to estimate a NARMAX model for an aircraft...
In this study, nonlinear autoregressive exogenous (NARX) models of a heavy-duty single-shaft gas tur...
This paper presents, for the first time, an analysis of space plasma turbulence based on the NARMAX ...
Both continuous and discrete time transfer functions of nonlinear systems are analysed and interpret...
In this study, nonlinear autoregressive exogenous (NARX) models of a heavy-duty single-shaft gas t...
In this study, nonlinear autoregressive exogenous (NARX) models of a heavy-duty single-shaft gas tu...
In this paper, an analysis of the energy transfer properties of nonlinear systems in the frequency d...
This paper documents the set-up and validation of nonlinear autoregressive exogenous (NARX) models o...
New results about the bound characteristics of both the generalised frequency response functions (GF...
This brief reports the experience with the identification of a nonlinear autoregressive with exogeno...
This brief reports the experience with the identification of a nonlinear autoregressive with exogeno...
The linear multivariable modelling of an aircraft gas turbine is presented. A frequency-domain ident...