Abstract: A method for controlling a wind turbine connected to an electrical grid includes receiving, via a controller, a state estimate of the wind turbine. The method also includes determining, via the controller, a current condition of the wind turbine using, at least, the state estimate, the current condition defining a set of condition parameters of the wind turbine. Further, the method includes receiving, via the controller, a control function from a supervisory controller, the control function defining a relationship of the set of condition parameters with at least one operational parameter of the wind turbine. Moreover, the method includes dynamically controlling, via the controller, the wind turbine based on the current condition and the control function for multiple dynamic control intervals.

Abstract: A system and method are provided for controlling a wind turbine of a wind farm. Accordingly, a controller implements a first model to determine a modeled performance parameter for the first wind turbine. The modeled performance parameter is based, at least in part, on an operation of a designated grouping of wind turbines of the plurality of wind turbines, which is exclusive of the first wind turbine. The controller then determines a performance parameter differential for the first wind turbine at multiple sampling intervals. The performance parameter differential is indicative of a difference between the modeled performance parameter and a monitored performance parameter for the first wind turbine. A second model is implemented to determine a predicted performance parameter of the first wind turbine at each of a plurality of setpoint combinations based, at least in part, on the performance parameter differential the first wind turbine.

Abstract: A system and method are provided for controlling a wind turbine of a wind farm. Accordingly, a controller implements a first model to determine a modeled performance parameter for the first wind turbine. The modeled performance parameter is based, at least in part, on an operation of a designated grouping of wind turbines of the plurality of wind turbines, which is exclusive of the first wind turbine. The controller then determines a performance parameter differential for the first wind turbine at multiple sampling intervals. The performance parameter differential is indicative of a difference between the modeled performance parameter and a monitored performance parameter for the first wind turbine. A second model is implemented to determine a predicted performance parameter of the first wind turbine at each of a plurality of setpoint combinations based, at least in part, on the performance parameter differential the first wind turbine.

Abstract: A method for controlling a wind turbine connected to an electrical grid includes receiving, via a controller, a state estimate of the wind turbine. The method also includes determining, via the controller, a current condition of the wind turbine using, at least, the state estimate, the current condition defining a set of condition parameters of the wind turbine. Further, the method includes receiving, via the controller, a control function from a supervisory controller, the control function defining a relationship of the set of condition parameters with at least one operational parameter of the wind turbine. Moreover, the method includes dynamically controlling, via the controller, the wind turbine based on the current condition and the control function for multiple dynamic control intervals.

Abstract: A system and method are provided for controlling a wind turbine of a wind farm. Accordingly, a controller determines a performance differential for the wind turbine at multiple sampling intervals of a yaw event. The controller determines a trendline for the wind turbine correlating the performance differential to a deviation of a wind direction at each of the multiple sampling intervals from an first yaw angle. A difference between an angle associated with the vertex of the trendline and the first yaw angle are utilized by the controller to determine a yaw angle offset. The yaw angle offset is used to adjust a second yaw angle of the wind turbine.

Abstract: A wind turbine control system is disclosed. The wind turbine control system includes a wind turbine, at least one sensor configured to detect at least one environmental condition associated with the wind turbine, and a wind turbine controller communicatively coupled to the wind turbine and the at least one sensor. The wind turbine controller includes at least one processor in communication with at least one memory device. The at least one processor is configured to retrieve at least one wind condition variable associated with the wind turbine, retrieve a power curve, the power curve generated based on the at least one wind condition variable by computing, for each of a plurality of wind speed values, a power value, receive, from the at least one sensor, sensor data, and control the wind turbine using the generated power curve based on the received sensor data.

Abstract: A control system is disclosed. The control system includes a wind turbine, at least one sensor configured to detect at least one property of the wind turbine to generate measurement data, and a controller communicatively coupled to the wind turbine and the at least one sensor. The controller includes at least one processor in communication with at least one memory device. The at least one processor is configured to control, during a training phase, the wind turbine according to at least one test parameter, receive, from the at least one sensor, during the training phase, first measurement data, generate, based on the at least one test parameter and the received first measurement data, a control model, receive, during an operating phase, second measurement data from the at least one sensor, and update the control model continuously based on the second measurement data.

Abstract: A wind turbine control system includes a detecting unit for adjusting a reference nodding moment of a wind turbine rotor based on at least one of an aerodynamic thrust on the wind turbine rotor and a speed of wind; a compensating unit for determining a physical nodding moment of the wind turbine rotor, comparing the physical nodding moment with the reference nodding moment, and using the comparison to compute a pitch angle command for at least one wind turbine blade; and a driving unit for changing a pitch of the at least one blade based on the pitch angle command to control the physical nodding moment of the wind turbine rotor.

Abstract: A system in accordance with present embodiments includes an electrocardiograph, a plurality of sensors communicatively coupled with the electrocardiograph, wherein each of the plurality of sensors comprises an electrode capable of detecting electrical impulses generated by a patient's body and transmitting signals indicative of detected electrical impulses to the electrocardiograph.

Abstract: A method for treating a region of interest using ultrasound is provided. The method comprises cavitating fat cells in the region of interest using one or more cavitating harmonics, and thermally treating connective tissues in the region of interest using one or more thermal harmonics.

Abstract: A thermal treatment control system including an imaging device for specifying the geometry and/or location of the treatment target, a thermal energy element for applying a thermal treatment for the heating or cooling of a target tissue for therapeutic purposes, a thermal energy detecting element for detecting a measured tissue response to the thermal treatment and a feedback controller for a real-time modification of the intensity and spatial distribution of the thermal dose in order to achieve therapeutic efficacy over a minimum or reduced treatment time while satisfying treatment constraints imposed to limit damage to normal tissues.

Abstract: An ultrasound imaging and therapy system that includes an ultrasound probe and an ultrasound diagnostic module to control the probe to obtain diagnostic ultrasound signals from a region of interest (ROI). The ROI includes adipose tissue and non-adipose tissue. The diagnostic module analyzes the diagnostic ultrasound signals and automatically differentiates adipose tissue from non-adipose tissue. The system also includes an ultrasound therapy module to control the probe to deliver, during a therapy session, a therapy at a treatment location based on a therapy parameter to the adipose tissue differentiated by the ultrasound diagnostic module. A method for delivering therapy to a region of interest (ROI) in a patient is also provided.

Abstract: An ultrasound imaging and therapy system is provided that includes an ultrasound probe and a diagnostic module to control the probe to obtain diagnostic ultrasound signals from a region of interest (ROI) of the patient. The ROI includes adipose tissue and the diagnostic module generates a diagnostic image of the ROI based on the ultrasound signals obtained. The system also includes a display to display the image of the ROI and a user interface to accept user inputs to designate a treatment space within the ROI that corresponds to the adipose tissue. The display displays the treatment space on the image. The system also includes a therapy module to control the probe to deliver, during a therapy session, a therapy to a treatment location based on a therapy parameter. The treatment location is within the treatment space defined by the user inputs.

Abstract: A method for monitoring the health of a turbine is provided. The method comprises monitoring a turbine engine having a plurality of engine modules and determining one or more health estimates, which may included trended data, for one or more of the engine modules, based on a plurality of engine parameters. The method further determining and transmitting appropriate notifications that indicate repairs to be made to the turbine engine.