A space operators tailored platform that enhances ground operations, enabling advanced and autonomous predictive health monitoring and support to flight dynamics tasks.
CLUE-ground is shaped with satellites operators leveraging SATE heritage on the use of AI-based diagnostics in decision-making processes.
Benefits
Reduction of unplanned down-services
The early detection of incipient faults and the computation of the Remaining Useful Life (RUL) of the affected component allows avoiding unplanned downtimes and optimizes manoeuvres and resources.
Reduction of troubleshooting time
CLUE automatically identifies the most likely root cause of an anomaly, providing additional information through dedicated panels to speed up the troubleshooting.
More systems monitored by the same resources
CLUE eases the operators work automatically by aggregating engineering knowledge and data driven insights, reducing time needed for their operators tasks.
Extraction of new knowledge
Patterns extraction and correlation analysis provide useful insights on the system behavior, spanning the analysis across different subsystems, to increase awareness on how the system works.
High configurability with low effort
CLUE can be configured for any type of system or component to detect related feared events, with limited need for anomaly data and labelling effort by operators.
Features
Scheduled and automatic analysis
CLUE implements scheduled or on-demand diagnostic processes of the monitored satellites/constellation, with prompt notifications of alerts and suggestions of views for detailed investigation.
Continuous validation and performance monitoring
CLUE continuously monitor algorithms results to intercept decreasing performances due to model ageing, notifying need for retraining.
System engineering approach
CLUE is the results of twenty years of SATE experience in AI based diagnostics applications in different fields, through several R&D and commercial projects, from system conception to final deployment.
AI when needed
CLUE makes selected use of AI, combining ML, statistics and knowledge-based methods with increased performance and interpretability.
