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The Scientific World Journal
Volume 2014, Article ID 104052, 14 pages
http://dx.doi.org/10.1155/2014/104052
Research Article

Anomaly Monitoring Method for Key Components of Satellite

1College of Information Systems and Management, National University of Defense and Technology, Changsha 410073, China
2Department of Telecommunications and Systems Engineering, University of Barcelona, 08202 Barcelona, Spain

Received 29 October 2013; Accepted 8 December 2013; Published 22 January 2014

Academic Editors: J. M. Corchado Rodríguez and M. Riera-Guasp

Copyright © 2014 Jian Peng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [5 citations]

The following is the list of published articles that have cited the current article.

  • Bassem Nassar, Wessam Hussein, and Mahmoud M. A. Sayed, “Classification of multi-failure mechanisms in space operations in using novel PLS-DA approach,” 2017 IEEE Aerospace Conference, pp. 1–12, . View at Publisher · View at Google Scholar
  • Bassem R. Mohammad, and Wessam. M. Hussein, “A novel approach of health monitoring and anomaly detection applied to spacecraft telemetry based on PLSDA multivariate latent technique,” 2014 15th International Workshop on Research and Education in Mechatronics, REM 2014, 2014. View at Publisher · View at Google Scholar
  • Bassem Nassar, and Wessam Hussein, “State-of-health analysis applied to spacecraft telemetry based on a new projection to latent structure discriminant analysis algorithm,” IEEE Aerospace Conference Proceedings, vol. 2015-, 2015. View at Publisher · View at Google Scholar
  • Wessam Hussein, and Bassem Nassar, “Statistical learning approach for spacecraft systems health monitoring,” IEEE Aerospace Conference Proceedings, vol. 2016-, 2016. View at Publisher · View at Google Scholar
  • Bassem Nassar, Wessam Hussein, and Mohamed Medhat, “Supervised learning algorithms for spacecraft attitude determination and control system health monitoring,” IEEE Aerospace and Electronic Systems Magazine, vol. 32, no. 4, pp. 26–39, 2017. View at Publisher · View at Google Scholar