11 citations · 11 across the 3 of their papers we have counts for
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eess.SY2024★ 11 cited
Convolutional Neural Network Design and Evaluation for Real-Time Multivariate Time Series Fault Detection in Spacecraft Attitude Sensors
Riccardo Gallon, Fabian Schiemenz, Alessandra Menicucci +1
Traditional anomaly detection techniques onboard satellites are based on reliable, yet limited, thresholding mechanisms which are designed to monitor univariate signals and trigger…
cs.LG2024
Machine Learning-based vs Deep Learning-based Anomaly Detection in Multivariate Time Series for Spacecraft Attitude Sensors
R. Gallon, F. Schiemenz, A. Krstova +2
In the framework of Failure Detection, Isolation and Recovery (FDIR) on spacecraft, new AI-based approaches are emerging in the state of the art to overcome the limitations commonl…