Detecting anomalies in satellites telemetry data using Probabilistic Graphical Models
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Updated
May 3, 2025 - Jupyter Notebook
Detecting anomalies in satellites telemetry data using Probabilistic Graphical Models
Autonomous Spacecraft Telemetry Anomaly Detection — LSTM Autoencoder · Layer 5 of ORBITIQ Sentinel SSA Platform
Integrated platform bridging ATSADBench evaluation and operational deployment of LLM-based anomaly detection on spacecraft telemetry. Features real-time telemetry management, model registry, automated metric computation (Alarm Accuracy/Latency/Contiguity), and visualization dashboards built on orbital mechanics infrastructure.
Curated replication package for reliability-aware explainable spacecraft-telemetry alarm triage
To associate your repository with the spacecraft-telemetry topic, visit your repo's landing page and select "manage topics."