… into account different gas turbine health states, the Health Indices of the gas turbine were
considered … do not depend on the gas turbine operating point but are only sensitive to the gas …

… on a 255 MW single-shaft gas turbine working in the ENEL combined cycle … gas turbine
health state, such as efficiencies and characteristic flow passage areas of compressor and turbine…

… , parity equations, parameter estimation and Gas Path Analysis (GPA)) and soft … gas turbine
health monitoring application examples using the GPA methods and the artificial intelligent …

… Among Artificial Intelligence based methods, NNs have proved to be very effective for gas
turbine diagnostics [21-27], and their main advantages are the following: • they do not require …

… -driven artificial intelligence based gas-path diagnosis methods, a newfangled gas turbine
gas-path diagnosis approach on the basis of knowledge data-driven artificial intelligence is …

… In the case of gas turbine diagnostics we have to be able to reach the global minimum for …
after specifically tailoring it for the purposes of gas turbine diagnostics. The fitness is calculated …

… Other studies show the usage of artificial neural networks (ANN) in modeling gas turbine
engines [12]–[18] and in the present work, two different types of these networks multilayer …

… of gas turbine condition monitoring, diagnostics, and prognostics using machine-learning …
this strategy are based on artificial intelligence and other machine-learning techniques [17]. …

… could be effective in aiding design space exploration in the gas turbine engineering design
… of a gas turbine which could be improved via artificial intelligence and machine learning: …

… concept of hybrid solid oxide fuel cell–gas turbine (SOFC-GT), the economic and environmental
superiority of this hybrid system over a conventional gas turbine (GT) has not yet been …