Classification of Leading Edge Erosion Severity Via Machine Learning Surrogate Models

This repository contains supplementary materials and resources associated with the research article "Classification of Leading Edge Erosion Severity Via Machine Learning Surrogate Models" It is organized into two primary components:

1. Research Data and Files
   Includes datasets, scripts, and model outputs used in the development and validation of surrogate models for detecting leading edge erosion in wind turbine blades. These materials support the findings and methodologies presented in the associated publication.
2. OpenFAST Experiment Template
   A reusable and customizable template designed for conducting simulations using OpenFAST, the open-source wind turbine modeling tool developed by NREL. This template provides a structured starting point for replicating or extending the experiments described in the paper.

Follow the link to the GitHub repository for details regarding the experiment and datasets.