General Electric Company

Baker Hughes, a Ge Compnay, LLC

Alcatel-lucent USA Inc.

Dayu Huang

Frederick Wilson Wheeler

Emad Andarawis Andarawis

George Theodore Dalakos

Edward James Nieters

Ameet Shridhar Deshpande

Su Liu

Jayakrishnan Unnikrishnan

Cheng-Po Chen

Kalpesh Singal

Gary Weldon Atkinson

John Joseph Mihok

Conner Brooks Shane

Hullas Sehgal

David Charles Korim

Dhiraj Arora

Marco Guerriero

Siyun Wang

A system and method are provided for controlling a wind turbine. Accordingly, a controller of the wind turbine detects a loss of traction of the slip coupling based on a difference between data indicative of a rotor operating parameter and data indicative of a generator operating parameter. The controller then determines an angle of slip corresponding to the loss of traction as a function of the difference. Based, at least partially on the angle of slip, a degradation value for the slip coupling is determined. A control action is implemented based on the degradation value.

System and method for controlling a wind turbine

A method for detecting anomalies during operation of an asset to improve performance of the asset includes collecting, via a server, data relating to operation of the asset or a group of assets containing the asset. The data includes normal and abnormal asset behavior of the asset or the group of assets containing the asset. Further, the method includes automatically removing, via an iterative algorithm programmed in the server that utilizes one or more inputs or outputs of an anomaly detection analytic, portions of the data containing the abnormal asset behavior to form a dataset containing only the normal asset behavior. The method also includes training, via a computer-based model programmed in the server, the anomaly detection analytic using, at least, the dataset containing only the normal asset behavior. Moreover, the method includes applying, via the server, the anomaly detection analytic to the asset so as to monitor for anomalies during operation thereof.

System and method for training anomaly detection analytics to automatically remove outlier data

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.

Odometer-based control of a wind turbine power system

A method for operating a wind turbine includes determining one or more loading and travel metrics or functions thereof for one or more components of the wind turbine during operation of the wind turbine. The method also includes generating, at least in part, at least one distribution of cumulative loading data for the one or more components using the one or more loading and travel metrics during operation of the wind turbine. Further, the method includes applying a life model of the one or more components to the at least one distribution of cumulative loading data to determine an actual damage accumulation for the one or more components of the wind turbine to date. Moreover, the method includes implementing a corrective action for the wind turbine based on the damage accumulation.

System for operating a wind turbine using cumulative load histograms based on actual operation thereof

A detection system to detect an object in a blowout prevention system of a production system includes a sensor coupled to the blowout prevention system and configured to send an ultrasonic pulse toward the object. The sensor is further configured to receive a signal including the ultrasonic pulse and noise after the ultrasonic pulse interacts with the object. The detection system also includes a controller coupled to the sensor and configured to identify the ultrasonic pulse in the signal using a first cancellation signal at a first time and a second cancellation signal at a second time. The controller is further configured to determine that the first cancellation signal corresponds to the noise in the signal at the first time, and determine that the second cancellation signal corresponds to the noise in the signal at the second time. The controller is configured to determine a characteristic of the object based on the ultrasonic pulse.

Detection system including sensor and method of operating such

A detection system includes a first sensor configured to send a first ultrasonic pulse toward an object in a blowout prevention system. The first ultrasonic pulse has a first parameter. The detection system also includes a second sensor spaced from the first sensor and configured to send a second ultrasonic pulse toward the object. The second ultrasonic pulse has a second parameter that is different from the first parameter of the first ultrasonic pulse. The first parameter and the second parameter are one of an amplitude, a frequency, a duration, an emission time, and an excitation code. The second sensor is further configured to receive the first ultrasonic pulse after the first ultrasonic pulse interacts with the object. The detection system is configured to determine that the first ultrasonic pulse received by the second sensor was sent by the first sensor. The detection system further includes a controller coupled to the second sensor and configured to determine a characteristic of the object based on the first ultrasonic pulse.

Detection system including sensors and method of operating such

An illustrative method of estimating a temperature for at least one of a plurality of sites based on temperature information from at least one of a plurality of temperature measurement stations includes several steps. The sites are clustered into a plurality of clusters. Respective centroids for the clusters are determined. The centroids are associated with respective measurement stations. One of a preselected plurality of estimating techniques is respectively assigned to the measurement stations. The assigned estimating technique provides a temperature estimate at the measurement station that is more accurate than others of the preselected plurality of estimating techniques. A temperature at the at least one of the plurality of sites is estimated using the estimating technique assigned to the measurement station associated with the centroid of the cluster that includes the site of interest.

Temperature estimation

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Rexford, NY, United States of America

Dayu Huang