Development of fault identification method based on non-linear models and its application in gas turbine fault diagnosis of power plant (Industry, Mining and Trade of Gilan Province)

Identifying the nonlinear model for the transient behavior of the gas turbine

Presenting a new structure for the turbine temperature control section

Designing an adaptive threshold model based on the Monte Carlo method

Designing a system for separating and estimating the size of defects based on artificial neural network methods

Designing an adaptive sliding mode observer for troubleshooting and robust identification of gas turbine defects

Designing a robust nonlinear fault diagnosis system based on intelligent dynamic models