[HTML][HTML] Anomaly detection for space information networks: A survey of challenges, techniques, and future directions

A Diro, S Kaisar, AV Vasilakos, A Anwar, A Nasirian… - Computers & …, 2024‏ - Elsevier
Abstract Space anomaly detection plays a critical role in safeguarding the integrity and
reliability of space systems amid the rising tide of threats. This survey aims to deepen …

[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 …

Intelligent health monitoring systems for space missions based on data mining techniques

S Abdelghafar, A Darwish, AE Hassanien - Machine learning and data …, 2020‏ - Springer
Abstract Development of intelligent health monitoring system for artificial satellites is one of
the important issue of aerospace engineering, in which determines the health state and …

Anomaly detection for space information networks: a survey of challenges, schemes, and recommendations

A Diro, S Kaisar, AV Vasilakos, A Anwar, A Nasirian… - 2023‏ - dro.deakin.edu.au
Space anomaly detection is of paramount importance in ensuring the safety and reliability of
space systems, particularly in the face of increasing threats. This comprehensive survey …

A multivariate anomaly detector for satellite telemetry data using temporal attention-based LSTM autoencoder

Z Xu, Z Cheng, B Guo - IEEE Transactions on Instrumentation …, 2023‏ - ieeexplore.ieee.org
Telemetry anomaly detection is a prominent health condition monitoring task that plays an
increasingly crucial role in identifying unexpected events and improving satellite's overall …

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 …

Semi-supervised machine learning for spacecraft anomaly detection & diagnosis

S Ramachandran, M Rosengarten… - 2020 IEEE Aerospace …, 2020‏ - ieeexplore.ieee.org
This paper describes Anomaly Detection via Topological-feature Map (ADTM), a data-driven
approach to Integrated System Health Management (ISHM) for monitoring the health of …

Simultaneous fault detection in satellite power systems using deep autoencoders and classifier chain

M Ganesan, R Lavanya - Telecommunication Systems, 2023‏ - Springer
A satellite system's health is heavily dependent on the proper functioning of the Satellite
Power System (SPS), which is regarded as the core component of a satellite. Fault detection …

A method for detecting incipient faults in satellites based on dynamic linear discriminant analysis

G Zhang, Q Yang, G Li, J Leng - Computational intelligence and …, 2021‏ - Wiley Online Library
Timely detection and treatment of possible incipient faults in satellites will effectively reduce
the damage and harm they could cause. Although much work has been done concerning …

[HTML][HTML] A satellite incipient fault detection method based on local optimum projection vector and kullback-leibler divergence

G Zhang, Q Yang, G Li, J Leng, L Wang - Applied Sciences, 2021‏ - mdpi.com
Timely and effective detection of potential incipient faults in satellites plays an important role
in improving their availability and extending their service life. In this paper, the problem of …