sintel-dev/Zephyr
https://dtail.gitbook.io/zephyr/
This project helps wind farm operators and data scientists proactively identify issues by analyzing operational data. It takes raw SCADA or PI data from wind turbines, along with alarm, work order, and stoppage records, to automatically generate labels for potential problems like power loss or component failures. The output is a structured dataset ready for machine learning, enabling predictive maintenance and improved operational efficiency for wind farm managers and data analysts.
No commits in the last 6 months.
Use this if you manage wind farm operations data and need to build machine learning models to predict events like power loss or component failures based on historical operational data.
Not ideal if your data is not related to wind farm operations or you are looking for a general-purpose time-series anomaly detection tool without specific event labeling capabilities.
Stars
12
Forks
2
Language
Python
License
MIT
Category
Last pushed
Jun 29, 2025
Commits (30d)
0
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