Detection and Prediction of Satellite Telemetry Anomalies

Anomaly detection and prediction are critical tasks in numerous domains, including finance, healthcare, and industrial process monitoring. This paper explores key techniques and challenges associated with leveraging Machine Learning (ML) for anomaly detection and prediction for satellite Telemetry. Moreover, we present the initial version of an application capable of performing both tasks for satellite telemetry, demonstrating its effectiveness through practical examples.