A peepholes method derives semantically annotated features from convolutional autoencoder activations to enable interpretable anomaly detection and localization in satellite attitude control telemetry.
Control moment gyroscope anomaly detection based on sparse autoencoder
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On-board Telemetry Monitoring in Autonomous Satellites: Challenges and Opportunities
A peepholes method derives semantically annotated features from convolutional autoencoder activations to enable interpretable anomaly detection and localization in satellite attitude control telemetry.