Satellite Telemetry

Satellite telemetry, the remote monitoring of spacecraft and other systems via transmitted data, aims to ensure reliable operation and early anomaly detection. Current research heavily emphasizes automated anomaly detection using machine learning, employing diverse architectures like deep learning (CNNs, RNNs, LSTMs, Transformers), ensemble methods, and Bayesian approaches to analyze multivariate time series data. This focus is driven by the need for efficient, accurate, and reliable monitoring across various applications, from spacecraft operations and planetary exploration to terrestrial infrastructure and even medical monitoring, improving system safety and operational efficiency.