Predictive AI for Offshore Wind & Marine Renewable Energy Asset Health Modeling
Combining oceanographic data and mechanical failure logs to forecast maintenance for open-ocean renewable energy assets.
- ModeVirtual / Online
- LevelModerate
- Fee₹2,499
Combining oceanographic data and mechanical failure logs to forecast maintenance for open-ocean renewable energy assets.
Topics Covered:
SCADA-Based Anomaly Detection in Offshore Wind Turbine Data
Participants will use Python in Google Colab to clean sample turbine sensor data and detect abnormal operating patterns using basic machine learning methods.
Topics Covered:
Failure Prediction and Remaining Useful Life Modeling
Participants will build a simple predictive model in Google Colab to estimate asset degradation risk and remaining useful life using simulated sensor and operational data.
Topics Covered:
Asset Health Risk Dashboard in Google Colab
Participants will create a notebook-based asset health dashboard showing fault risk score, maintenance priority, and visual trends for offshore renewable energy components.
