Asset Intelligence
Continuous health monitoring, anomaly detection, and remaining useful life estimation for vessel machinery and critical systems.
Health Scoring
Component-to-vessel health scoring derived from real-time sensor data, alarm history, and maintenance records. Updated continuously as new data arrives.
Anomaly Detection
AI ensemble combining LSTM autoencoder reconstruction error with Isolation Forest scoring. Catches both gradual degradation and sudden deviations, including on vessels with limited failure history.
RUL Estimation
Remaining useful life prediction using Weibull degradation models updated by particle filter as new sensor observations arrive. P10/P50/P90 uncertainty bands included.
Sensor Integration
Supports Modbus, OPC-UA, NMEA, and MQTT protocols. Compatible with existing onboard monitoring systems - no hardware replacement required.
Typical Applications
- Main engine predictive maintenance scheduling
- Auxiliary machinery health monitoring
- Propulsion system degradation detection
- Structural monitoring and fatigue estimation