Automatic modeling of a gas turbine using genetic programming: An experimental study

Author:

Enríquez-Zárate Josué,Trujillo LeonardoORCID,de Lara Salvador,Castelli Mauro,Z-Flores Emigdio,Muñoz Luis,Popovič Aleš

Funder

CONACYT Basic Science Research

TecNM (México) Research

FP7-Marie Curie-IRSES 2013 European Commission program

Publisher

Elsevier BV

Subject

Software

Reference43 articles.

1. Stationary gas turbines a real time dynamic model with experimental validation;Sekhon,2006

2. Time series method for machine performance prediction using condition monitoring data;Sarwar,2014

3. Application of a state space modeling technique to system prognostics based on a health index for condition-based maintenance;Sun;Mech. Syst. Signal Process.,2012

4. The application of expert systems and neural networks to gas turbine prognostics and diagnostics;DePold;J. Eng. Gas Turbines Power,1999

5. Modelling and dynamic simulation of gas turbine;Delgadillo,2002

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