Abstract: Systems and methods for providing intelligent management of balance of plant are provided. According to one embodiment of the disclosure, a system for determining a malfunction of a feedwater pump includes one or more processors and a database communicatively coupled to the one or more processors. The one or more processors can be configured to receive plant parameters. The one or more processors can be further configured to correlate the plant parameters to historical operational values. Based at least partially on the correlating, the one or more processors may be operable to identify a malfunction in a feedwater pump. Based at least partially on the identifying, the one or more processors may be operable to provide an advisory action concerning an operation of the feedwater pump.

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: Systems and methods for providing intelligent management of balance of plant are provided. According to one embodiment of the disclosure, a system for determining a malfunction of a feedwater pump includes one or more processors and a database communicatively coupled to the one or more processors. The one or more processors can be configured to receive plant parameters. The one or more processors can be further configured to correlate the plant parameters to historical operational values. Based at least partially on the correlating, the one or more processors may be operable to identify a malfunction in a feedwater pump. Based at least partially on the identifying, the one or more processors may be operable to provide an advisory action concerning an operation of the feedwater pump.

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: Load control systems and methods for shafts are provided. The load control system includes a sensor assembly. The sensor assembly includes a plurality of ultrasonic probes mounted to the shaft, each of the plurality of ultrasonic sensors configured to produce an ultrasonic wave on the shaft. The sensor assembly further includes a plurality of receivers mounted to the shaft, each of the plurality of receivers configured to sense the ultrasonic wave produced by one of the plurality of ultrasonic probes. The load control system further includes a controller communicatively coupled to the sensor assembly and configured to measure a travel time of the ultrasonic wave produced by each of the plurality of ultrasonic probes.

Abstract: In one aspect, a system for detecting loads transmitted through a blade root of a rotor blade of a wind turbine is disclosed. The system may include a root attachment assembly configured to couple the blade root to a hub of the wind turbine. The root attachment assembly may include a barrel nut mounted within a portion of the blade root and a root bolt extending from the barrel nut. In addition, the system may include a sensor associated with the root attachment assembly. The sensor may be configured to detect loads transmitted through at least one of the barrel nut and the root bolt.

Abstract: A system for detecting loads in a wind turbine is disclosed. In one aspect, the system may generally include a shaft and first and second pillow blocks receiving portions of the shaft. The second pillow block may be spaced axially apart from the first pillow block. Additionally, the system may include at least one sensor configured to indirectly detect loads transmitted through at least one of the first pillow block and the second pillow block.

Abstract: In one aspect, a system for detecting loads transmitted through a blade root of a rotor blade of a wind turbine is disclosed. The system may include a root attachment assembly configured to couple the blade root to a hub of the wind turbine. The root attachment assembly may include a barrel nut mounted within a portion of the blade root and a root bolt extending from the barrel nut. In addition, the system may include a sensor associated with the root attachment assembly. The sensor may be configured to detect loads transmitted through at least one of the barrel nut and the root bolt.

Abstract: A system for detecting loads in a wind turbine is disclosed. In one aspect, the system may generally include a shaft and first and second pillow blocks receiving portions of the shaft. The second pillow block may be spaced axially apart from the first pillow block. Additionally, the system may include at least one sensor configured to indirectly detect loads transmitted through at least one of the first pillow block and the second pillow block.