Measurement data and BayOMA identification results of a 31 m wind turbine rotor blade
收藏DataCite Commons2025-12-02 更新2026-05-03 收录
下载链接:
https://data.uni-hannover.de/dataset/2011f834-5a53-435e-b707-325bd2b289a9
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资源简介:
The presented dataset contains measurement data and the corresponding modal parameters eigenfrequencies and eigenmodes identified using Bayesian operational modal analysis (BayOMA) of a 31 m wind turbine rotor blade tested under fatigue loading. More information is available in the readme file.
The dataset is published alongside the article "Damage identification on a large-scale wind turbine rotor blade using sample-based deterministic model updating" by Wolniak et al., submitted to Wind Energy Science in October 2025.
提供机构:
LUIS
创建时间:
2025-10-15



