The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 14, 2025

Filed:

Jun. 02, 2020
Applicant:

Siemens Gamesa Renewable Energy A/s, Brande, DK;

Inventor:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
F03D 17/00 (2016.01); F03D 15/00 (2016.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
F03D 17/00 (2016.05); F03D 15/00 (2016.05); G06N 3/045 (2023.01); G06N 3/08 (2013.01); F05B 2240/50 (2013.01); F05B 2260/84 (2013.01); F05B 2270/334 (2013.01); F05B 2270/709 (2013.01);
Abstract

Provided is a method for computer-implemented monitoring of a component of a wind turbine, having access to a trained machine learning model which has been trained for one or more components of the same type of wind turbines. The trained machine learning model is configured to provide an output referring to a predetermined fault occurring at a component of a wind turbine by processing vibration signals in a predetermined domain which are measured in the vicinity of the component during the operation of the wind turbine. Vibration signals are mapped to corresponding vibration signals valid for the component based on one or more given kinematic parameters of the component and one or more given kinematic parameters of another component. The machine learning model is applied to the vibration signals valid for the component, resulting in an output referring to the predetermined fault occurring at the another component.


Find Patent Forward Citations

Loading…