Abstract:
Embodiments of the invention can provide systems and methods for determining a target exhaust temperature for gas turbines. In one embodiment of the disclosure, there is disclosed a method for determining a target exhaust temperature for a gas turbine. The method can include determining a target exhaust temperature based at least in part on a compressor pressure condition; determining a temperature adjustment to the target exhaust temperature based at least in part on steam humidity; and changing the target exhaust temperature based at least in part on the temperature adjustment.
Abstract:
Embodiments of the invention can provide systems and methods for determining a target exhaust temperature for gas turbines. In one embodiment of the disclosure, there is disclosed a method for determining a target exhaust temperature for a gas turbine. The method can include determining a target exhaust temperature based at least in part on a compressor pressure condition; determining a temperature adjustment to the target exhaust temperature based at least in part on steam humidity; and changing the target exhaust temperature based at least in part on the temperature adjustment.
Abstract:
A system includes a processor configured to execute an artificial neural network (ANN). The processor is configured to receive one or more operational parameters associated with an operation of a turbine system. The turbine system includes one or more combustors. The processor is further configured to analyze, via the ANN, the one or more operational parameters to determine a characteristic pattern, and to generate, via the ANN, an output based at least in part on the determined characteristic pattern. The output includes an indication of an intensity of a flame of the one or more combustors to determine a presence or an absence of the flame.