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

In this paper, we use a variance-based genetic ensemble (VGE) of Neural Networks (NNs)
to detect anomalies in the satellite's historical data. We use an efficient ensemble of the …

Although in-orbit anomaly detection is extremely important to ensure spacecraft safety, the
complex spatial-temporal correlation and sparsity of anomalies in the data pose significant …

Spacecraft faces various situations when carrying out exploration missions in complex
space, thus monitoring the anomaly status of spacecraft is crucial to the development of the …

Anomaly detection is a crucial matter to ensure the spacecraft stability. During the spacecraft
operation, sensors and controllers generate a large volume of multidimensional time series …

Reducing satellite failures and keeping satellites healthy in orbit are important issues.
Current satellite systems have developed modules to detect anomalies on board. However …

Anomaly detection in telemetry channels is a high priority for spacecraft, especially when
considering the harsh environment of space and the magnitude of launch and operation …

Detecting an anomaly is not only important for many terrestrial applications on Earth but also
for space applications. Especially, satellite missions are highly risky because unexpected …

Anomaly or abnormal behavior detection in downlinked spacecraft telemetry is a key step for
determining root cause of subsystem failures. Long Short-Term Memory networks (LSTMs) …

Anomaly detection for orbiting satellites has become a paramount research focus in the
aerospace domain. Data-driven methodologies, employing high-dimensional telemetry data …