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papersSEP 10 04:00 UTC

Unsupervised Anomaly Detection Framework for Spacecraft Telemetry Uses Adaptive EVT Thresholding

Researchers have introduced an unsupervised framework for detecting anomalies in spacecraft telemetry that does not rely on labeled historical anomalies or lengthy warm-up periods, addressing common barriers to real-world deployment. The approach uses structure-aware modeling combined with adaptive Extreme Value Theory (EVT) thresholding to determine when telemetry readings should be flagged. The authors position the method as ready for operational use in settings where annotated failure data is scarce.

anomaly-detection/spacecraft/time-series