A Detection and Reporting System for Spacecraft Threats
Description
Goal is to identify, and potentially predict when an event (e.g., anomaly, interference, etc.) has/will occur. Spacecraft anomalies / interference events can take them out of of mission.
Detailed example
list of identified events (type, time, location, etc.) provided to engineering/operations. We are very conscious to drive false positives and operator workload to the absolute minimum.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
Shorten anomaly/event response times, potentially automating responses; Faster identification of anomalies, and even prediction of events. Keeps spacecraft on mission longer.
Controls / human review
ATO: Not reported; PIA: Not published