ARADISS is a rapidly deployable anomaly detection technology that cna predict failures in satellite systems. It detects even subtle anomalies and identifies their root causes using machine learning and graph techniques. This technology is agnostic of the paltform, mission, and faiure mechanism, and requires minimal subject matter expertise.
The detection thresholds are self-adjusting to gradual system changes allowing for highly accurate diagnostics. ARADISS is a cost effective fault management solution for custom satellites and can help minimize system down time.
GTC provide satellite or similar system’s health monitoring services by analyzing provided telemetry. After initial processing and training, this could be deployed as a streamlined pipeline. By analyzing the batches or continuous stream of data from the system, cyberphysical anomaly detection algorithms will provide insights about the health status of the system, as well as any anomalies present along with their location.
This includes sensor faults, component degradations, control input errors, environmental disturbances, and cyberattacks.
