Radar-Based Damage Detection in a Wind Turbine Blade Using Convolutional Neural Networks: A Proof-of-Concept Under Fatigue Loading
- DOI
- 10.3390/s25113337
- Published
- 2025-05-26
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s25113337,
title = {Radar-Based Damage Detection in a Wind Turbine Blade Using Convolutional Neural Networks: A Proof-of-Concept Under Fatigue Loading},
author = {Erik Streser and Sercan Alipek and Manuel Rao and Jonas Simon and Jochen Moll and Peter Kraemer and Viktor Krozer},
year = {2025},
journal = {Sensors},
doi = {10.3390/s25113337},
url = {https://doi.org/10.3390/s25113337}
}RIS
TY - JOUR TI - Radar-Based Damage Detection in a Wind Turbine Blade Using Convolutional Neural Networks: A Proof-of-Concept Under Fatigue Loading AU - Erik Streser AU - Sercan Alipek AU - Manuel Rao AU - Jonas Simon AU - Jochen Moll AU - Peter Kraemer AU - Viktor Krozer PY - 2025 JO - Sensors DO - 10.3390/s25113337 UR - https://doi.org/10.3390/s25113337 ER -
APA
Streser, E., Alipek, S., Rao, M., Simon, J., Moll, J., Kraemer, P., & Krozer, V. (2025). Radar-Based Damage Detection in a Wind Turbine Blade Using Convolutional Neural Networks: A Proof-of-Concept Under Fatigue Loading. Sensors. https://doi.org/10.3390/s25113337
Source records
- crossref · retrieved 2026-09-27T14:27:33.961Z