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Wave-Energy Converter Sensor Dashboard

Physics-based simulation of float sensors with anomaly detection, structural-health monitoring, and fatigue-life estimation — a fleet-engineering prototype.

🌊 Live demo (no install needed): wec-sensor-dashboard.onrender.com


What's in it

Six tabs walk through the sensor stack on a free-drifting wave-energy converter.

  • Overview — float architecture and the six sensor categories on board
  • Motion — accelerometer and gyroscope
  • Strain & Fatigue — strain gauge at the welded neck joint, with a 20-year fatigue-life verdict across sea states
  • Resonance — natural-frequency identification from the strain time series, plus a forcing sweep that shows when hard limits (yield / UTS) start to break
  • Pressure — five channels (three external hull sensors, one internal power-take-off chamber, one dry-cabin leak detector), with wave-to-wire power output
  • ADCP — acoustic current profiler with GPS-fusion correction

Every tab has interactive sliders so you can play with wave dynamics, engineering parameters, and design thresholds — and watch the figures, formulas, tables, and verdicts update in real time.

Run locally

pip install -r requirements.txt
python app.py

Open http://localhost:8050

License

This project is licensed under the PolyForm Noncommercial License 1.0.0.

You are free to use, modify, and redistribute it for personal, research, or educational purposes, including hobby projects and study. Commercial use is not permitted. See the LICENSE file for full terms.

If you build on this work, please retain attribution to the author.

Author

Youran Li, 2026

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Physics-based simulation of float sensors with anomaly detection, structural-health monitoring, and fatigue-life estimation — a fleet-engineering prototype.

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