Invention Grant
- Patent Title: Wind turbine drivetrain wear detection using azimuth variation clustering
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Application No.: US16787695Application Date: 2020-02-11
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Publication No.: US11428212B2Publication Date: 2022-08-30
- Inventor: Carmine A. Priore, III , Huiyi Zhang
- Applicant: Inventus Holdings, LLC
- Applicant Address: US FL Juno beach
- Assignee: Inventus Holdings, LLC
- Current Assignee: Inventus Holdings, LLC
- Current Assignee Address: US FL Juno beach
- Agency: Fleit Intellectual Property Law
- Agent Jeffrey N. Giunta
- Main IPC: F03D17/00
- IPC: F03D17/00 ; G01M13/02

Abstract:
Systems and methods to monitor a wind turbine azimuth drivetrain. Azimuth variation characteristics data are accumulated from wind turbines over a period of time. Clusters of values within the azimuth variation characteristics data are identified and a respective condition of the main drivetrain is associated with different clusters of values. After the associating, a measured set of azimuth variation characteristics data is received. A cluster corresponds to values in the measured set of azimuth variation characteristics data is determined and a condition associated with that cluster is determined to be a condition associated with the subject main drivetrain. That condition is then reported.
Public/Granted literature
- US20210246881A1 WIND TURBINE DRIVETRAIN WEAR DETECTION USING AZIMUTH VARIATION CLUSTERING Public/Granted day:2021-08-12
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