DEVELOPMENT OF RELIABLE NARX MODELS OF GAS TURBINE COLD, WARM AND HOT START-UP

[1]  M. Y. El-Sharkh,et al.  Validation of artificial neural network based model of microturbine power plant , 2013, 2013 IEEE Industry Applications Society Annual Meeting.

[2]  Mauro Venturini,et al.  Modeling and Simulation of the Transient Behavior of an Industrial Power Plant Gas Turbine , 2014 .

[3]  A. R. Tavakolpour-Saleh,et al.  Parametric and nonparametric system identification of an experimental turbojet engine , 2015 .

[4]  Michele Pinelli,et al.  Analysis of biogas compression system dynamics , 2009 .

[5]  Mohsen Assadi,et al.  Development of an optimized artificial neural network model for combined heat and power micro gas turbines , 2013 .

[6]  Grzegorz Nowak,et al.  Using the artificial neural network to control the steam turbine heating process , 2016 .

[7]  Michele Pinelli,et al.  A Model for the Simulation of Large-Size Single-Shaft Gas Turbine Start-Up Based on Operating Data Fitting , 2007 .

[8]  Silvio Simani,et al.  Fault diagnosis of an industrial gas turbine prototype using a system identification approach , 2008 .

[9]  Magnus Fast,et al.  Artificial Neural Networks for Gas Turbine Monitoring , 2010 .

[10]  Khashayar Khorasani,et al.  A dynamic prognosis scheme for flexible operation of gas turbines , 2016 .

[11]  Mauro Venturini Development and Experimental Validation of a Compressor Dynamic Model , 2005 .

[12]  Yong Shi,et al.  Compressor performance prediction using a novel feed-forward neural network based on Gaussian kernel function , 2016 .

[13]  Ali Chaibakhsh,et al.  Temperature sensor fault diagnosing in heavy duty gas turbines using Laguerre network-based hierarchical fuzzy systems , 2015, 2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA).

[14]  Wojciech Radulski,et al.  Online Prediction of Temperature and Stress in Steam Turbine Components Using Neural Networks , 2015 .

[15]  Michele Pinelli,et al.  NARX models for simulation of the start-up operation of a single-shaft gas turbine , 2016 .

[16]  Laura Giarré,et al.  NARX models of an industrial power plant gas turbine , 2005, IEEE Transactions on Control Systems Technology.

[17]  Mauro Venturini Optimization of a Real-Time Simulator Based on Recurrent Neural Networks for Compressor Transient Behavior Prediction , 2007 .

[18]  L. Fradet,et al.  Geometrical variations in white and gray matter affect the biomechanics of spinal cord injuries more than the arachnoid space , 2016 .

[19]  Mohsen Assadi,et al.  Condition Based Maintenance of Gas Turbines Using Simulation Data and Artificial Neural Network: A Demonstration of Feasibility , 2008 .

[20]  Michele Pinelli,et al.  Set Up of a Robust Neural Network for Gas Turbine Simulation , 2004 .

[21]  Michele Pinelli,et al.  Artificial Intelligence for the Diagnostics of Gas Turbines—Part II: Neuro-Fuzzy Approach , 2007 .

[22]  Michele Pinelli,et al.  Development of a One-Dimensional Modular Dynamic Model for the Simulation of Surge in Compression Systems , 2007 .

[23]  Andrea Toffolo,et al.  Analytical and Neural Network Models for Gas Turbine Design and Off-Design Simulation # , 2001 .

[24]  K. Khorasani,et al.  Fault detection and isolation of gas turbine engines using a bank of neural networks , 2015 .

[25]  M. Venturini Simulation of compressor transient behavior through recurrent neural network models , 2006 .

[26]  Thomas Palmé,et al.  Application of artificial neural networks to the condition monitoring and diagnosis of a combined heat and power plant , 2010 .

[27]  Nader Meskin,et al.  Health Monitoring and Degradation Prognostics in Gas Turbine Engines Using Dynamic Neural Networks , 2015 .

[28]  K Khorasani,et al.  An ensemble of dynamic neural network identifiers for fault detection and isolation of gas turbine engines , 2016, Neural Networks.

[29]  Paul Fletcher,et al.  Gas Turbine Performance , 1998 .

[30]  Stephen Ogaji,et al.  Multiple-sensor fault-diagnoses for a 2-shaft stationary gas-turbine , 2002 .

[31]  Arif Hepbasli,et al.  APPLICATION OF ARTIFICIAL NEURAL NETWORK (ANN) METHOD TO EXERGETIC ANALYSES OF GAS TURBINES , 2009 .