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# Wind Turbine SCADA Data For Early Fault Detection |
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## About the Dataset |
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This dataset, originally published as "CARE to Compare: Wind Turbine Anomaly Detection Dataset," contains real-world SCADA data from wind turbines. It is designed for testing and developing anomaly detection algorithms for wind energy systems. |
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### Dataset Overview |
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- **Duration:** 89 years of cumulative operating data |
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- **Turbines:** 36 wind turbines across 3 wind farms |
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- **Datasets:** 95 total datasets |
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- 44 contain labeled anomaly events |
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- 51 represent normal behavior |
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- **Resolution:** 10-minute SCADA data intervals |
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- **Feature Count:** |
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- Wind Farm A: 86 features |
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- Wind Farm B: 257 features |
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- Wind Farm C: 957 features |
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- **Data Structure:** Each dataset contains 1 year of training data plus 4-98 days of prediction data |
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### Key Features |
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- **Detailed fault information**: Most comprehensive publicly available wind turbine fault dataset |
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- **Status-based labels**: Ensures high-quality training data |
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- **Labeled anomaly events**: 44 labeled time frames of faults |
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- **Normal operation datasets**: 51 time series with no faults |
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- **Comprehensive sensor descriptions**: Includes units and descriptions for all measured variables |
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## Potential Applications |
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- **Anomaly detection algorithm development and testing** |
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- **Predictive maintenance modeling** |
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- **Wind turbine performance analysis** |
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- **SCADA-based condition monitoring** |
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- **Benchmark testing using the CARE score (Coverage, Accuracy, Reliability, and Earliness)** |
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## Citation |
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If you use this dataset, please cite the original paper: |
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> Güuck, C., Roelofs, C.M.A., & Faulstich, S. (2024). CARE to Compare: A real-world dataset for anomaly detection in wind turbine data. arXiv:2404.10320 |
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## Original Source |
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This dataset was originally published at: |
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- [Zenodo](https://zenodo.org/doi/10.5281/zenodo.10958774) |
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- [Fordatis](http://dx.doi.org/10.24406/fordatis/343) |
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## Modification Note |
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The only modification made to the original dataset is the replacement of semicolons with commas as CSV separators to facilitate easier data loading and analysis. |
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## License |
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This dataset is shared under the **Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)** license. |
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