SYSTEM AND METHOD FOR PREDICTING WIND TURBINE COMPONENT FAILURES

Patent №

US 8,326,577

Granted

2012-12-04

Filed 2011

Owner

GENERAL ELECTRIC COMPANY

Lab

AI components

1

planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13237073

Methods and systems for use in predicting wind turbine failures are provided. One example method includes determining a parametric profile for a component of a wind turbine from operating data of a plurality of wind turbines, determining an anomaly profile for the component of the wind turbine from anomaly alerts from a plurality of wind turbines, and determining a probability of failure for the component of the wind turbine based on the parametric profile and the anomaly profile. The parametric profile defines at least one parametric event associated with the component prior to failure of the component, and the anomaly profile defines at least one anomaly associated with the component prior to failure of the component.

PlanningG05B 23/0237F03D 17/00F05B 2260/821F05B 2270/332

AI classification

Planning1.00
Machine learning0.33
Knowledge representation0.18
AI hardware0.03
Natural language0.02
Vision0.01
Evolutionary computation0.00
Speech0.00

Ownership

GENERAL ELECTRIC COMPANY

assignment · 269340667

Assignors

GRAHAM, FRED GORUM, III, NANDA, SUBRAT, VITTAL, SAMEER, TALUKDAR, ATANU

On an employer assignment, the assignors are typically the inventors.

From the same owner

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