End User
CPO
Description
This AI-based service enables detection and localization/identification of faults in offshore renewable energy systems. It processes real-time sensor data from offshore assets (e.g., subsea cables, power electronics, buoys) to identify faults in voltage, current, power and operational behaviour. The system supports prioritization of critical events, enabling timely dispatch of maintenance teams and helping minimize operational downtime and service disruption.
Core Capabilities
Monitoring & Anomaly Detection
Business Need
Offshore energy systems are subject to harsh conditions and hard-to-access infrastructure. This service addresses the need for effective fault identification and dispatch efficiency by allowing remote detection, prioritization of maintenance tasks, and improved operational safety.
Key Performance Indicators
Number of Fault detection identification types
Model robustness (under variable offshore conditions)
True positives and false positives (%)
Data Provided
Real-time sensor data from wave plant turbines (power generation, weather conditions, wave size, etc.)
Historical power generation and weather/wave data
Open-source weather forecasts
AI-based weather forecasts (Service1) (Optional)
Proprietary datasets from plant operations (Optional)
TEF
TEF RES