US 12,078,148 B2
System and method for detecting anomalies in wind turbine control signals
Raymond Cole, Wilton, NY (US); Robert Dewey, Valatie, NY (US); Dhanannjay Deo, Altamont, NY (US); and Anas Patankar, West Lafayette, IN (US)
Assigned to GE Infrastructure Technology LLC, Greenville, SC (US)
Appl. No. 17/789,842
Filed by General Electric Company, Schenectady, NY (US)
PCT Filed Dec. 31, 2019, PCT No. PCT/US2019/069056
§ 371(c)(1), (2) Date Jun. 29, 2022,
PCT Pub. No. WO2021/137857, PCT Pub. Date Jul. 8, 2021.
Prior Publication US 2023/0030681 A1, Feb. 2, 2023
Int. Cl. F03D 17/00 (2016.01); F03D 7/04 (2006.01); F03D 80/50 (2016.01); G05B 23/02 (2006.01)
CPC F03D 17/00 (2016.05) [F03D 7/043 (2013.01); F03D 80/50 (2016.05); G05B 23/0281 (2013.01); G05B 23/0283 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A method for controlling a wind turbine in response to anomaly detection, the method comprising:
receiving, via a processor, operational data of at least one component of the wind turbine, the operational data comprising a time-series of one or more high speed signals both before, during, and after an anomaly, the one or more high speed signals being digital or analog signals;
storing the operational data of the at least one component of the wind turbine in a memory device of the processor;
identifying, via the processor, a specific type and location of the anomaly by applying at least one of pattern recognition, machine learning, or rules-based conditions to the stored operational data of the at least one component of the wind turbine;
determining, via the processor, an appropriate response action for the specific type and location of the anomaly;
adjusting control of the wind turbine; and
implementing, via the processor, the appropriate response action for the specific type and location of the anomaly.