Project overview:
Enabling Condition Based Maintenance for Offshore Wind
Awardee:
GE Research
Start Date:
Q2, 2021
Technical Challenge Area:
O&M and Safety
Completion Date:
Q1, 2023
Synopsis:
This project will develop an intelligent blade leading edge (LE) health estimation and prognostics model geared towards enabling condition-based maintenance strategy for offshore wind turbines.
Target Outcomes:
1
Evaluate the feasibility of utilizing physics-based models (digital twins) to augment the limited operational data available.
2
Integrate physics-based models with advanced artificial intelligence (AI) & machine learning (ML) techniques to ensure the estimation and prognostics model to be accurate and effective.
