Invention Grant
- Patent Title: Wind turbine damage detection system using machine learning
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Application No.: US16574803Application Date: 2019-09-18
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Publication No.: US11460003B2Publication Date: 2022-10-04
- Inventor: Huiyi Zhang , Norman Jeffrey Hammitt , Joseph D Prusa
- 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: Tarolli, Sundheim, Covell & Tummino LLP
- Main IPC: F03D7/04
- IPC: F03D7/04 ; F03D80/50 ; F03D17/00 ; G06N20/00

Abstract:
A system for monitoring a plurality of wind turbines can include a turbine categorizer, executing on one or more computing platforms that categorizes each of a plurality of wind turbines as being damaged or undamaged to form a list of potentially damaged wind turbines. The system can also include a damage evaluator executing on the one or more computing platforms that predicts a damage type and a stage for each wind turbine in the list of potentially damaged wind turbines. The system can further include an impact engine executing on the one or more computing platforms that assigns a repair window and a priority for each wind turbine in the list of potentially damaged wind turbines based on a respective predicted damage type and stage.
Public/Granted literature
- US20210079890A1 WIND TURBINE DAMAGE DETECTION SYSTEM USING MACHINE LEARNING Public/Granted day:2021-03-18
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