End User
UTBM
Description
This service provides predictive analytics for fuel cell systems using data-driven models. By analyzing historical and real-time operational data, it forecasts performance degradation and identifies potential failures in advance. The goal is to enable proactive maintenance, reduce downtime, and extend the lifespan of fuel cell systems through intelligent, real-time monitoring and decision support.
Core Capabilities
Monitoring & Anomaly Detection
Predictive & Prescriptive Analytics
Business Need
Fuel cell systems degrade over time due to operational and environmental factors. This service enables proactive maintenance by predicting degradation before performance is affected. It helps reduce risks, cut maintenance costs, increase uptime, and extend system lifespan.
Key Performance Indicators
Root Mean Square Error (RMSE) / Mean Absolute Error (MAE)
Data Provided
Operational Data (Real-Time & Historical), from onboard sensors, fuel cell controllers (unknown datasize) (existing documentation for structure) (data resolution per second or per minute)
TEF
TEF H2