AI-Powered structural health monitoring: Predicting fatigue damage in aircraft composites with ultrasonic guided wave inspections
Fuente:
Zenodo
Saved in:
| Main Author: | |
|---|---|
| Format: | Recurso digital |
| Published: |
Zenodo
2024
|
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866902334214242304 |
|---|---|
| author | Kolozis, Panagiotis |
| author_facet | Kolozis, Panagiotis |
| contents | <p>In the frame of the GENEX project, Panagiotis Kolozis (IRES) presented the collaborative work with ITA on predicting fatigue damage in aircraft composites with ultrasonic guided wave inspections at the 14th EASN International Conference 2024.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14710371 |
| institution | Zenodo |
| language | |
| publishDate | 2024 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | AI-Powered structural health monitoring: Predicting fatigue damage in aircraft composites with ultrasonic guided wave inspections Kolozis, Panagiotis <p>In the frame of the GENEX project, Panagiotis Kolozis (IRES) presented the collaborative work with ITA on predicting fatigue damage in aircraft composites with ultrasonic guided wave inspections at the 14th EASN International Conference 2024.</p> |
| title | AI-Powered structural health monitoring: Predicting fatigue damage in aircraft composites with ultrasonic guided wave inspections |
| url | https://doi.org/10.5281/zenodo.14710371 |