Speaker
Mr
Riccardo Rovatti
(UniBo)
Description
Advanced machine-learning/deep-learning models are promising technology in space domain and can be suitable for onboard satellite failure prognostic and detection through telemetry data processing. This category of solutions possesses the peculiarity to better handle the complex correlations hidden inside the data. Preliminary architectures and learning strategy based on autoencoder neural network are proposed for multivariate data processing approaches, analyzed and assessed vs. other traditional approaches.
