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.

Abstract: Systems and methods provided herein output an operational advisory based upon a plurality of models derived from a plurality of data, in which the plurality of models comprise at least one of a plant transfer function, a degradation contributor model, or a plant level cost model, and in which the plurality of data is derived from at least one of current plant data, historical plant data, business data, environmental data, component data, degradation contribution data, an optimization goal, or a combination thereof.

Abstract: Systems and methods provided herein output an operational advisory based upon a plurality of models derived from a plurality of data, in which the plurality of models comprise at least one of a plant transfer function, a degradation contributor model, or a plant level cost model, and in which the plurality of data is derived from at least one of current plant data, historical plant data, business data, environmental data, component data, degradation contribution data, an optimization goal, or a combination thereof.