Telemetry data-based spacecraft anomaly detection with spatial–temporal generative adversarial networks

J Yu, Y Song, D Tang, D Han… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The telemetry data obtained from an on-orbit spacecraft contain important information to
indicate anomaly of the spacecraft. However, the large number of monitoring variables and …

An encoder-decoder generative adversarial network-based anomaly detection approach for satellite telemetry data

Z Xu, Z Cheng, QD Tang, B Guo - Acta Astronautica, 2023 - Elsevier
Telemetry anomaly detection is a prominent health condition monitoring task that plays an
increasingly crucial role in discovering potential incidents and facilitating long-term reliable …

Multivariate time series anomaly detection with generative adversarial networks based on active distortion transformer

L Kong, J Yu, D Tang, Y Song, D Han - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Detecting anomalies for multivariate time series is of great importance in modern industrial
applications. However, due to the complex temporal dynamics in modern systems, finding a …

[HTML][HTML] Explainable anomaly detection in spacecraft telemetry

S Cuéllar, M Santos, F Alonso, E Fabregas… - … Applications of Artificial …, 2024 - Elsevier
As spacecraft missions become more complex and ambitious, it becomes increasingly
important to track the status and health of the spacecraft in real-time to ensure mission …

A novel asymmetric loss function for deep clustering-based health monitoring and anomaly detection for spacecraft telemetry

MA Obied, W Zakaria, FFM Ghaleb… - CCF Transactions on …, 2024 - Springer
Aerospace systems essentially require health monitoring and anomaly detection to enhance
system safety and reliability and to avoid system failure in spacecraft and satellites operating …

Deep Learning Based Fault Diagnosis Methods for Satellite Power System

Y Dong, Y Zhan, H Xie - 2024 International Wireless …, 2024 - ieeexplore.ieee.org
Due to the harsh space environment, the Satellite Power System (SPS) may be affected
greatly. As the heart of satellite, fault in SPS can lead to mission failure and huge economic …

Automated Training and Deployment of Machine-Learning Models for Anomaly Detection in Telemetry

K Naik, A Palmer, J Kenworthy - 2022 IEEE Aerospace …, 2022 - ieeexplore.ieee.org
The past decade has seen scores of academic studies investigating the use of machine
learning to automatically find anomalies in spacecraft telemetry streams. Despite the …

Deep Learning Based Anomaly Detection in Space Systems and Operations

H Akbarian - 2024 - search.proquest.com
The relentless expansion of space exploration necessitates the development of robust and
dependable anomaly detection systems (ADS) to safeguard the safety and efficacy of space …

Assessment of the State of Complex Technical Objects Based on the Analysis of Time Series Anomalies

VN Efanov, NS Ivanova - 2023 International Ural Conference …, 2023 - ieeexplore.ieee.org
The problem of estimating the state of complex technical objects based on the analysis of
time series anomalies is considered. It is shown that to solve this problem it is necessary to …

Explainable Anomaly Detection in Spacecraft Telemetry

G Farias, S Cuéllar, M Santos Peñas, F Alonso-Zotes… - 2024 - docta.ucm.es
As spacecraft missions become more complex and ambitious, it becomes increasingly
important to track the status and health of the spacecraft in real-time to ensure mission …