Abstract: Embodiments of the disclosure relate to systems and methods to evaluate performance of a fluid transport system. Towards this end, a performance report of the fluid transport system can be generated by estimating various performance parameters at an outlet of a heat exchanger in lieu of using sensor data obtained directly from the outlet of the heat exchanger. Specifically, in one exemplary implementation, sensor data is obtained from an inlet of the heat exchanger and an outlet of a downstream element that is coupled to the heat exchanger, for estimating the various performance parameters at the outlet of the heat exchanger. The estimated performance parameters can then be combined with empirical data and predictive data for generating the performance report of the fluid transport system.

Abstract: In one example embodiment, a gas turbine system includes a gas turbine, a compressor bleed valve, various sensors, and a valve health assessment system. The compressor bleed valve bleeds a portion of air received by the compressor during certain operating modes. The valve health assessment system includes a processor that uses a neural network model to generate a first failure mode predictor of the compressor bleed valve by processing operational data provided by the various sensors. The processor also generates a second failure mode predictor of the compressor bleed valve by using empirical data and a valve transfer function. The processor further generates a third failure mode predictor of the compressor bleed valve by using predictive data and a prediction model. The processor then applies a holistic procedure to the three failure mode predictors to derive a probability of occurrence of a failure in the compressor bleed valve.

Abstract: A method includes obtaining a steady state model that models a process controlled by a controller of a gas turbine. The steady state model estimates at least one output of the process based on at least one input. The method includes creating a transient model by perturbing at least one input of the steady state model to estimate the at least one output, the at least one output comprising transient characteristics of the gas turbine. The method includes adjusting a gain of the controller continuously, at predetermined intervals, or based on a requirement trigger, or any combination thereof, based on the transient model. The gain defines a response to a difference between a reference signal and a feedback signal of the controller of the gas turbine. The method includes sending the adjusted gain to the controller. The controller controls the process based on the adjusted gain.

Abstract: In one example embodiment, a gas turbine system includes a gas turbine, a compressor bleed valve, various sensors, and a valve health assessment system. The compressor bleed valve bleeds a portion of air received by the compressor during certain operating modes. The valve health assessment system includes a processor that uses a neural network model to generate a first failure mode predictor of the compressor bleed valve by processing operational data provided by the various sensors. The processor also generates a second failure mode predictor of the compressor bleed valve by using empirical data and a valve transfer function. The processor further generates a third failure mode predictor of the compressor bleed valve by using predictive data and a prediction model. The processor then applies a holistic procedure to the three failure mode predictors to derive a probability of occurrence of a failure in the compressor bleed valve.

Abstract: Embodiments of the disclosure relate to systems and methods to evaluate performance of a fluid transport system. Towards this end, a performance report of the fluid transport system can be generated by estimating various performance parameters at an outlet of a heat exchanger in lieu of using sensor data obtained directly from the outlet of the heat exchanger. Specifically, in one exemplary implementation, sensor data is obtained from an inlet of the heat exchanger and an outlet of a downstream element that is coupled to the heat exchanger, for estimating the various performance parameters at the outlet of the heat exchanger. The estimated performance parameters can then be combined with empirical data and predictive data for generating the performance report of the fluid transport system.