Aventa Taggenberg WeDoWind-RTDT FA-SHM-WT-03
shared privately
Description
Identification of aerodynamic imbalance.
The dataset is a part of the WeDoWind challenge: Field Applications in Structural Health Monitoring for Wind Turbines.
The attached dataset includes measurements obtained from the Aventa AV-7 Research Wind Turbine, located in Taggenberg and owned by the ETH Zurich Department of Structural Health Monitoring. The data covers the measurements for 09 December 2022, 14 21 December 2022, 22 December 2022, 04 January 2023, 18 Januray 2023.
This particular dataset is intended for the Identification of aerodynamic imbalance.
The zip file contains:
- Time-series data in HDF5 format
- Metadata:
- Turbine specification (Aventa-AV-7.json and Aventa-AV-7.yaml)
- Sensor specification (Aventa_sensors.json )
- Unstructured description of the Aventa Turbine and the installed sensors (Aventa_Sensors_Specs.xlsx)
- Semantic artifacts:
- WindIO Wind Turbine YAML schema describing turbine specifications (IEAontology_schema.yaml)
- Sensor specification JSON schema (sensors_schema.json)
- Media: Pictures of leading edge roughness and a clip of wind turbine operation
- Code: Jupyter notebook containing example code to load metadata from JSON and data from HDF5 files (example.ipynb)
Dataset file
aventa_aerodynamic_imbalance.zip
2.5 GB,
S3 ETag
7f23b1f15698e85da1c1b0bf2001d773-5,
downloads: 13
The file hash is calculated from the formula
Example script for calculation:
https://github.com/antespi/s3md5
hexmd5(md5(part1)+md5(part2)+...)-{parts_count}
where a single part of the file is 512 MB in size.Example script for calculation:
https://github.com/antespi/s3md5
File details
- Raw data:
- Data contained in dataset was not processed.
Details
- Year of publication:
- 2023
- Verification date:
- 2023-03-13
- Dataset language:
- English
- Fields of science:
-
- mechanical engineering (Engineering and Technology)
- environmental engineering, mining and energy (Engineering and Technology)
- DOI:
- 10.34808/hc8z-g842
- Verified by:
- No verification
Keywords
Cite as
Authors
seen 50 times