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:

Evaluate the feasibility of utilizing physics-based models (digital twins) to augment the limited operational data available.

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.