A hybrid hierarchical health monitoring solution for autonomous detection, localization and quantification of damage in composite wind turbine blades for tinyML applications
Abstract Composites are widely used in wind turbine blades due to their excellent strength-to-weight ratio and operational flexibilities. However, wind turbines often operate in harsh environmental conditions that can lead to various types of damage, including abrasion, corrosion, fractures, cracks,...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-95364-5 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!