Proactive diagnosis of spacecraft issues and response to conceivable hazards has attracted
considerable interest. Hidden anomalies in satellites can cause overall system degradation …

Laser directed-energy deposition (DED) offers notable advantages in additive
manufacturing (AM) for producing intricate geometries and facilitating material functional …

The empirical application of polarization and depolarization current (PDC) measurement of
transformers facilitates the extraction of critical insulation-sensitive parameters. This …

Successful management of large space systems, such as the most recent Proliferated Low
Earth Orbit (P-LEO) constellations, demands an increased level of autonomy and irregular …

Social insurance benefits qualification assessment is an important task to ensure that
retirees enjoy their benefits according to the regulations. It also plays a key role in curbing …

Recently advanced non-geostationary (NGSO) satellite networks represented by large
constellations and advanced payloads provide great promises for enabling high-quality …

Deep neural networks (DNNs) are prominent in predictive analytics for accurately
forecasting target variables. However, inherent uncertainties necessitate constructing …

Telemetry data, collected from different onboard sensors and transmitted via a telemetry link,
are the only basis for monitoring the health status and failure of on-orbit spacecraft. The …

Detecting anomalous events in satellite telemetry is a critical task in space operations. This
task, however, is extremely time-consuming, error-prone and human dependent, thus …

Machine learning has vast potential to improve anomaly detection in satellite telemetry
which is a crucial task for spacecraft operations. This potential is currently hampered by a …