Issue |
E3S Web Conf.
Volume 583, 2024
Innovative Technologies for Environmental Science and Energetics (ITESE-2024)
|
|
---|---|---|
Article Number | 04011 | |
Number of page(s) | 7 | |
Section | Microwave, Laser, RF, UV and Solar Radiations | |
DOI | https://doi.org/10.1051/e3sconf/202458304011 | |
Published online | 25 October 2024 |
Development of a methodology for identifying anomalies in telemetry data of small spacecraft using the ensemble method
Northern (Arctic) Federal University, Northern Dvina emb., 17, Arkhangelsk, 163000, Russia
* Corresponding author: r.aleshko@gmail.com
This study includes work related to the analysis of satellite telemetry data. Prior to that, the focus is on investigating various ways of finding anomalies in telemetry data. Both traditional statistical approaches, such as outlier analysis and process control, and modern machine learning techniques, such as deep learning algorithms and anomaly detection techniques, are covered in this. It is seeking to decide on a machine learning model that can identify anomalies in telemetry data. This requires the analysis of several machine learning algorithms, their comparison, and evaluation using a small spacecraft telemetry dataset. This work needs to identify the most suitable and effective methods for detecting anomalies in satellite telemetry data.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.