Patents by Inventor Scott Charles Evans
Scott Charles Evans has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20230275978Abstract: According to some embodiments, a system to facilitate hierarchical data exchange may include an aggregation platform data store containing electronic records. A data aggregation platform may collect, from a plurality of data source devices, information associated with a plurality of data sources and store the collected information into the aggregation platform data store. The data aggregation platform may also receive a data request from a data consumer device, and, responsive to the received data request, determine a precision tier associated with the data request. The data aggregation platform may then automatically calculate a resource value for the data request based on the precision tier. It may then be arranged for information from the aggregation platform data store to be modified and transmitted to the data consumer device.Type: ApplicationFiled: May 8, 2023Publication date: August 31, 2023Inventors: Scott Charles Evans, Benjamin Edward Beckmann, John Willam Carbone
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Patent number: 11728654Abstract: A system and method are provided for operating a power generating asset. Accordingly, at least one external data set indicative of a plurality of variables affecting the performance of the power generating asset is received by the controller. The controller also receives at least one operational data set indicative of the performance of the power generating asset. A plurality of production-assessment models for the power generating asset are generated and trained based on the data sets. A performance prediction is then generated for each of a plurality of model-variable combinations and a control action is implemented based on one of the performance predictions.Type: GrantFiled: March 19, 2021Date of Patent: August 15, 2023Assignee: General Electric Renovables Espana, S.L.Inventors: Zhanpan Zhang, Scott Charles Evans, Peter Alan Gregg, Matthew David Pepple, Manuel Rodolfo Valdez, David William Eldridge, Ricardo Zetina Benignos, Andrew T. Ferree
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Patent number: 11683397Abstract: According to some embodiments, a system to facilitate hierarchical data exchange may include an aggregation platform data store containing electronic records. A data aggregation platform may collect, from a plurality of data source devices, information associated with a plurality of data sources and store the collected information into the aggregation platform data store. The data aggregation platform may also receive a data request from a data consumer device, and, responsive to the received data request, determine a precision tier associated with the data request. The data aggregation platform may then automatically calculate a resource value for the data request based on the precision tier. It may then be arranged for information from the aggregation platform data store to be modified and transmitted to the data consumer device.Type: GrantFiled: April 22, 2022Date of Patent: June 20, 2023Assignee: General Electric CompanyInventors: Scott Charles Evans, Benjamin Edward Beckmann, John William Carbone
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Patent number: 11674498Abstract: A system and method are provided for controlling a wind turbine of a wind farm. Accordingly, a controller prepares a yaw bias correction function based, at least in part, on a yaw offset function, and on wind speed measurement data and wind direction reference data of a wind event acting on at least a portion of the wind farm. The controller also applies the yaw bias correction function based at least in part on position data of a nacelle of the wind turbine, to yaw the nacelle of the wind turbine.Type: GrantFiled: April 21, 2022Date of Patent: June 13, 2023Assignee: General Electric Renovables Espana, S.L.Inventors: Scott Charles Evans, Kasi Viswanadha Raju Gadiraju, Joseph Lawrence Chacon, Samuel Bryan Shartzer
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Patent number: 11649804Abstract: 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.Type: GrantFiled: June 7, 2021Date of Patent: May 16, 2023Assignee: General Electric Renovables Espana, S.L.Inventors: Samuel Bryan Shartzer, Scott Charles Evans, Arunvenkataraman Subramanian, Dhiraj Arora, Samuel Davoust
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Publication number: 20230136071Abstract: Some embodiments provide a system and method comprising a memory and a processor to cause the system to: receive a first and second data distribution for a first and second variable, respectively; determine a first and second data optimum number of bins for the first and second data distribution, respectively; create a first and second model for the first and second data distribution using the first and second data optimum number of bins, respectively; apply the first model to the second data distribution to calculate a smallest descriptive size of the second data distribution given the first model; apply the second model to the first data distribution to calculate a smallest descriptive size of the first data distribution given the second model; and determine a causal direction between the first variable and the second variable based on the application of the first and second model. Numerous other aspects are provided.Type: ApplicationFiled: October 29, 2021Publication date: May 4, 2023Inventors: Scott Charles EVANS, Walter YUND, Saikat K. RAY MAJUMDER, Matthew Christian NIELSEN
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Publication number: 20230034766Abstract: A system and method are provided for operating a wind farm. Accordingly, a wind direction affecting the wind farm is determined. Based on the wind direction, a controller identifies a turbine cluster, which is a subset of a plurality of wind turbines of the wind farm. The subset includes at least an upwind turbine and a downwind turbine that is affected by a wake emanating from the upwind turbine. With the turbine cluster identified for the given wind direction, the controller then determines a difference between a freestream maximal cluster power output and a wake-affected cluster power output for the turbine cluster. The controller then determines a mitigation setpoint combination for the subset of wind turbines. The mitigation setpoint combination is configured to establish a mitigated cluster power output.Type: ApplicationFiled: July 28, 2021Publication date: February 2, 2023Inventors: Scott Charles Evans, Samuel Bryan Shartzer, Tapan Ravin Shah, Srinivas Bollapragada, Arunvenkataraman Subramanian, Philip James Verzella, Stefan Kern, Samuel Davoust
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Publication number: 20220389906Abstract: 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.Type: ApplicationFiled: June 7, 2021Publication date: December 8, 2022Inventors: Samuel Bryan Shartzer, Scott Charles Evans, Arunvenkataraman Subramanian, Dhiraj Arora, Samuel Davoust
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Publication number: 20220341393Abstract: A method for controlling a wind turbine includes detecting, via a controller, a plurality of analytic outputs of the wind turbine from a plurality of different analytics. The method also includes analyzing, via the controller, the plurality of analytic outputs of the wind turbine. Further, the method includes generating, via the controller, at least one computer-based model of the wind turbine using at least a portion of the analyzed plurality of analytic outputs. Moreover, the method includes training, via the controller, the at least one computer-based model of the wind turbine using annotated analytic outputs of the wind turbine. As such, the method includes checking the plurality of analytic outputs for anomalies using the at least one computer-based model. Accordingly, the method includes implementing a control action when at least one anomaly is detected.Type: ApplicationFiled: December 30, 2019Publication date: October 27, 2022Inventors: Gerald Bowden Wise, Scott Charles Evans, Arunvenkataraman Subramanian, Kyle Raymond Barden, Frank William Ripple, Jr., John Edmund LaFleche, Tapan Shah
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Publication number: 20220302705Abstract: A system and method are provided for operating a power generating asset. Accordingly, at least one external data set indicative of a plurality of variables affecting the performance of the power generating asset is received by the controller. The controller also receives at least one operational data set indicative of the performance of the power generating asset. A plurality of production-assessment models for the power generating asset are generated and trained based on the data sets. A performance prediction is then generated for each of a plurality of model-variable combinations and a control action is implemented based on one of the performance predictions.Type: ApplicationFiled: March 19, 2021Publication date: September 22, 2022Inventors: Zhanpan Zhang, Scott Charles Evans, Peter Alan Gregg, Matthew David Pepple, Manuel Rodolfo Valdez, David William Eldridge, Ricardo Zetina Benignos, Andrew T. Ferree
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Publication number: 20220256013Abstract: According to some embodiments, a system to facilitate hierarchical data exchange may include an aggregation platform data store containing electronic records. A data aggregation platform may collect, from a plurality of data source devices, information associated with a plurality of data sources and store the collected information into the aggregation platform data store. The data aggregation platform may also receive a data request from a data consumer device, and, responsive to the received data request, determine a precision tier associated with the data request. The data aggregation platform may then automatically calculate a resource value for the data request based on the precision tier. It may then be arranged for information from the aggregation platform data store to be modified and transmitted to the data consumer device.Type: ApplicationFiled: April 22, 2022Publication date: August 11, 2022Inventors: Scott Charles Evans, Benjamin Edward Beckmann, John William Carbone
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Patent number: 11323544Abstract: According to some embodiments, a system to facilitate hierarchical data exchange may include an aggregation platform data store containing electronic records. A data aggregation platform may collect, from a plurality of data source devices, information associated with a plurality of data sources and store the collected information into the aggregation platform data store. The data aggregation platform may also receive a data request from a data consumer device, and, responsive to the received data request, determine a precision tier associated with the data request. The data aggregation platform may then automatically calculate a resource value for the data request based on the precision tier. It may then be arranged for information from the aggregation platform data store to be modified and transmitted to the data consumer device.Type: GrantFiled: February 4, 2021Date of Patent: May 3, 2022Assignee: General Electric CompanyInventors: Scott Charles Evans, Benjamin Edward Beckmann, John William Carbone
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Patent number: 11231012Abstract: 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.Type: GrantFiled: September 22, 2020Date of Patent: January 25, 2022Assignee: General Electric Renovables Espana, S.L.Inventors: Samuel Bryan Shartzer, Scott Charles Evans, Dhiraj Arora, Bernard P. Landa, Joerg Wanink
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Patent number: 11060504Abstract: 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.Type: GrantFiled: February 7, 2020Date of Patent: July 13, 2021Assignee: General Electric CompanyInventors: Nurali Virani, Scott Charles Evans, Samuel Davoust, Samuel Bryan Shartzer, Dhiraj Arora
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Publication number: 20210160343Abstract: According to some embodiments, a system to facilitate hierarchical data exchange may include an aggregation platform data store containing electronic records. A data aggregation platform may collect, from a plurality of data source devices, information associated with a plurality of data sources and store the collected information into the aggregation platform data store. The data aggregation platform may also receive a data request from a data consumer device, and, responsive to the received data request, determine a precision tier associated with the data request. The data aggregation platform may then automatically calculate a resource value for the data request based on the precision tier. It may then be arranged for information from the aggregation platform data store to be modified and transmitted to the data consumer device.Type: ApplicationFiled: February 4, 2021Publication date: May 27, 2021Inventors: Scott Charles Evans, Benjamin Edward Beckmann, John William Carbone
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Publication number: 20210102525Abstract: A method for controlling a wind turbine includes detecting a plurality of analytic outputs relating to power performance of the wind turbine from a plurality of different analytics. The method also includes analyzing the plurality of analytic outputs relating to power performance of the wind turbine. Further, the method includes generating at least one computer-based model of the power performance of the wind turbine using at least a portion of the analyzed plurality of analytic outputs. Moreover, the method includes training the computer-based model(s) of the power performance of the wind turbine using annotated analytic outputs relating to the power performance of the wind turbine. In addition, the method includes estimating a power magnitude of the wind turbine using the machine-learned computer-based model(s). As such, the method includes implementing a control action when the power magnitude of the wind turbine is outside of a selected range.Type: ApplicationFiled: October 2, 2019Publication date: April 8, 2021Inventors: Scott Charles Evans, Arunvenkataraman Subramanian, Gerald Bowden Wise, Frank William Ripple, JR., John Edmund LaFleche
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Patent number: 10954919Abstract: A method for controlling a wind turbine includes detecting a plurality of analytic outputs relating to power performance of the wind turbine from a plurality of different analytics. The method also includes analyzing the plurality of analytic outputs relating to power performance of the wind turbine. Further, the method includes generating at least one computer-based model of the power performance of the wind turbine using at least a portion of the analyzed plurality of analytic outputs. Moreover, the method includes training the computer-based model(s) of the power performance of the wind turbine using annotated analytic outputs relating to the power performance of the wind turbine. In addition, the method includes estimating a power magnitude of the wind turbine using the machine-learned computer-based model(s). As such, the method includes implementing a control action when the power magnitude of the wind turbine is outside of a selected range.Type: GrantFiled: October 2, 2019Date of Patent: March 23, 2021Assignee: General Electric CompanyInventors: Scott Charles Evans, Arunvenkataraman Subramanian, Gerald Bowden Wise, Frank William Ripple, Jr., John Edmund LaFleche
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Patent number: 10938950Abstract: According to some embodiments, a system to facilitate hierarchical data exchange may include an aggregation platform data store containing electronic records. A data aggregation platform may collect, from a plurality of data source devices, information associated with a plurality of data sources and store the collected information into the aggregation platform data store. The data aggregation platform may also receive a data request from a data consumer device, and, responsive to the received data request, determine a precision tier associated with the data request. The data aggregation platform may then automatically calculate a resource value for the data request based on the precision tier. It may then be arranged for information from the aggregation platform data store to be modified and transmitted to the data consumer device.Type: GrantFiled: November 14, 2017Date of Patent: March 2, 2021Assignee: General Electric CompanyInventors: Scott Charles Evans, Benjamin Edward Beckmann, John William Carbone, Patrick Kennedy Patnode
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Patent number: 10815972Abstract: A method for assessing or validating wind turbine or wind farm performance produced by one or more upgrades is provided. Measurements of operating data from wind turbines in a wind farm are obtained. Baseline models of performance are generated, and each of the baseline models is developed from a different portion of the operating data. A generating step filters the wind turbines so that they are in a balanced randomized state. An optimal baseline model of performance is selected from the baseline models and the optimal baseline model includes direction. The optimal baseline model of performance and an actual performance of the wind farm or wind turbine is compared. The comparing step determines a difference between an optimal baseline model of power output and an actual power output of the wind farm/turbine. The difference is reflective of a change in the power output produced by the upgrades.Type: GrantFiled: March 22, 2019Date of Patent: October 27, 2020Assignee: General Electric CompanyInventors: Scott Charles Evans, Danian Zheng, Raul Munoz, Samuel Bryan Shartzer, Brian Allen Rittenhouse, Samuel Davoust, Alvaro Enrique Gil, Nurali Virani, Ricardo Zetina
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Publication number: 20200300227Abstract: A method for assessing or validating wind turbine or wind farm performance produced by one or more upgrades is provided. Measurements of operating data from wind turbines in a wind farm are obtained. Baseline models of performance are generated, and each of the baseline models is developed from a different portion of the operating data. A generating step filters the wind turbines so that they are in a balanced randomized state. An optimal baseline model of performance is selected from the baseline models and the optimal baseline model includes direction. The optimal baseline model of performance and an actual performance of the wind farm or wind turbine is compared. The comparing step determines a difference between an optimal baseline model of power output and an actual power output of the wind farm/turbine. The difference is reflective of a change in the power output produced by the upgrades.Type: ApplicationFiled: March 22, 2019Publication date: September 24, 2020Applicant: General Electric CompanyInventors: Scott Charles Evans, Danian Zheng, Raul Munoz, Samuel Bryan Shartzer, Brian Allen Rittenhouse, Samuel Davoust, Alvaro Enrique Gil, Nurali Virani, Ricardo Zetina