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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.

Linked References

  1. X. P. Hu, Q. D. Han, and J. H. Li, Data Mining in Anomaly Detection, National University of Defence and Technology, 2009, (Chinese).
  2. L. X. Lin, The Failure Analysis and Research of Spacecrafts' Control, Guide and Navigation System during 1990–2001, International Space, 2005, (Chinese).
  3. V. Chandola, A. Banerjee, and V. Kumar, “Anomaly detection: a survey,” ACM Computing Surveys, vol. 41, no. 3, article 15, 2009. View at Publisher · View at Google Scholar · View at Scopus
  4. Q. Chen and Z. Li, “The fault diagnosis based on immune neural network,” in Proceedings of the 3rd International Symposium on Information Science and Engineering (ISISE '10), pp. 454–457, Shanghai, China, December 2010. View at Publisher · View at Google Scholar · View at Scopus
  5. D. Chen and P. Zhao, “Study of the fault diagnosis method based on RBF neural network,” in Proceedings of the 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC '11), pp. 4350–4353, Zhengzhou, China, August 2011. View at Publisher · View at Google Scholar · View at Scopus
  6. W. J. Xu and J. Yao, “Integrated quality diagnosis algorithm method based on neural network and sensitivity analysis to input parameters,” Journal of Networks, vol. 8, no. 6, pp. 1307–1314, 2013. View at Google Scholar
  7. J. Reyes, M. Vellasco, and R. Tanscheit, “Monitoring and diagnosis of multiple sensors by auto-associative neural networks,” Automatic Control, vol. 23, no. 2, pp. 121–137, 2012. View at Google Scholar
  8. P. W. Tse, E. Y. Li, J. C. Chan, and J. T. Leung, “Automatic generator health assessment system that embedded with advanced fault diagnosis and expert system,” in Proceedings of the Prognostics and System Health Management Conference (PHM '10), Macau, China, January 2010. View at Publisher · View at Google Scholar · View at Scopus
  9. Z. Zhou, M. Zhuang, X. Lu, L. Hu, and G. Xia, “Design of a real-time fault diagnosis expert system for the EAST cryoplant,” Fusion Engineering and Design, vol. 87, no. 12, pp. 2002–2006, 2012. View at Publisher · View at Google Scholar · View at Scopus
  10. D. DeCoste, “Learning envelopes for fault detection and state summarization,” in Proceedings of the 2000 IEEE Aerospace Conference, pp. 337–344, Big Sky, Mont, USA, March 2000. View at Scopus
  11. M. A. Swartwout, C. A. Kitts, and R. K. Batra, “Persistence-based production rules for on-board satellite automation,” 1999 IEEE Aerospace Applications Conference, pp. 273–281, 1999. View at Google Scholar · View at Scopus
  12. G. J. Mansingh, L. Rao, B. Osei, M. Kweku, and A. Mills, “Profiling internet banking users: a knowledge discovery in data mining process model based approach,” in Information Systems Frontiers, pp. 1–23, Springer, 2013. View at Google Scholar
  13. A. Kumar, A. Srivastava, N. Goel, and A. Nayak, “Model-free approach and methodology for data anomaly detection for real time diagnostic solution,” in Proceedings of the 23rd Canadian Conference on Electrical and Computer Engineering, Calgary, Canada, May 2010. View at Publisher · View at Google Scholar · View at Scopus
  14. S. Hiratsuka, H. H. Lu, and A. Fusaoka, “Model-based monitoring and diagnosis chip for embedded systems,” in Proceedings of the 12th International Conference Artificial Intelligence: Methodology, Systems, and Applications, Lecture Notes in Computer Science, pp. 255–264, Varna, Bulgaria, 2006.
  15. C. M. Meyer, C. Fulton, B. Maul, A. Chicatelli, and H. Cannon, “Propulsion IVHM technology experiment overview,” in Proceedings of the 2003 IEEE Aerospace Conference, pp. 859–868, Big Sky, Mont, USA, 2003.
  16. S. C. Hayden, A. J. Sweet, and S. E. Christa, “Livingstone model-based diagnosis of earth observing one,” in Proceedings of the AIAA 1st Intelligent Systems Technical Conference—Collection of Technical Papers, pp. 98–108, Chicago, Ill, USA, September 2004. View at Scopus
  17. S. C. Hayden, A. J. Sweet, S. E. Christa, D. Tran, and S. Shulman, “Advanced diagnostic system on earth observing one,” in Proceedings of the AIAA Space 2004 Conference and Exposition—A Collection of Technical Papers, pp. 2209–2222, San Diego, Calif, USA, September 2004. View at Scopus
  18. M. Schwabacher, J. Samuels, and L. Brownston, “The NASA integrated vehicle health management technology experiment for X-37,” in Proceedings of the Components and Systems Diagnostics, Progrnostics, and Health Management II, Proceedings of SPIE, pp. 49–60, The International Society for Optical Engineering, Orlando, Fla, USA, April 2002. View at Publisher · View at Google Scholar · View at Scopus
  19. A. Kumar, A. Srivastava, N. Goel, and A. Nayak, “Model-free approach and methodology for data anomaly detection for real time diagnostic solution,” in Proceedings of the 23rd Canadian Conference on Electrical and Computer Engineering (CCECE '10), Calgary, Canada, May 2010. View at Publisher · View at Google Scholar · View at Scopus
  20. S. Cheng and M. Pecht, “Multivariate State Estimation Technique for remaining useful life prediction of electronic products,” in Proceedings of the Papers from the AAAI Fall Symposium—Artificial Intelligence for Prognostics, pp. 26–32, Arlington, Va, USA, November 2007. View at Scopus
  21. M. Chen, S. Zhang, Y. Xing, and Y. Zhang, “Combined attitude control method of small satellite in the case of reaction wheel failed,” Journal of Harbin Institute of Technology, vol. 39, no. 5, pp. 811–816, 2007. View at Google Scholar · View at Scopus
  22. Q. Wu and M. Saif, “Robust fault detection and diagnosis for a multiple satellite formation flying system using second order sliding mode and wavelet networks,” in Proceedings of the American Control Conference (ACC '07), pp. 426–431, New York, NY, USA, July 2007. View at Publisher · View at Google Scholar · View at Scopus
  23. B. Banerjee, L. Kraemer, and W. Solano, “Particle filtering for diagnosis and prognosis of anomalies in rocket engine tests,” in Proceedings of the 2011 AIAA Infotech at Aerospace Conference and Exhibit, St. Louis, Mo, USA, 2011.
  24. A. Borisov, G. Runger, and E. Tuv, “Target-aware anomaly detection and diagnosis,” in Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics (ICINCO '11), pp. 14–23, Noordwijkerhout, Netherlands, July 2011. View at Scopus
  25. H. Ding, H. Sun, and K. Hou, “Abnormal ECG signal detection based on compressed sampling in Wearable ECG sensor,” in Proceedings of the International Conference on Wireless Communications and Signal Processing (WCSP '11), Nanjing, China, November 2011. View at Publisher · View at Google Scholar · View at Scopus
  26. H. A. Talebi, R. V. Patel, and K. Khorasani, “Fault detection and isolation for uncertain nonlinear systems with application to a satellite reaction wheel actuator,” in Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC '07), pp. 3140–3145, Montreal, Canada, October 2007. View at Publisher · View at Google Scholar · View at Scopus
  27. K. Matsuoka, “Pitfalls in radar diagnosis of ice-sheet bed conditions: lessons from englacial attenuation models,” Geophysical Research Letters, vol. 38, no. 5, Article ID L05505, 2011. View at Publisher · View at Google Scholar · View at Scopus
  28. L. Li, L. Ma, and K. Khorasani, “A dynamic recurrent neural network fault diagnosis and isolation architecture for satellite's Actuator/thruster failures,” in Proceedings of the 2nd International Symposium on Neural Networks (ISNN '05), pp. 574–583, Chongqing, China, June 2005. View at Scopus
  29. N. Cheifetz, A. Samé, P. Aknin, and E. De Verdalle, “A pattern recognition approach for anomaly detection on buses brake system,” in Proceedings of the 14th IEEE International Intelligent Transportation Systems Conference (ITSC '11), pp. 266–271, Washington, DC, USA, October 2011. View at Publisher · View at Google Scholar · View at Scopus
  30. K. C. Gross, R. M. Singer, S. W. Wegerich, and J. P. Herzog, “Application of a model-based fault detection system to nuclear plant signals,” International Conference on Intelligent Systems Applications to Power Systems, Seoul, Republic of Korea, 1997.
  31. K. Vaidyanathan and K. C. Rross, “MSET performance optimization for detection of software aging,” in Proceedings of the International Symposium on Software Reliability Engineering (ISSRE '03), San Diego, Calif, USA, 2003.
  32. E. Liu and D. Zhang, “Diagnosis of component failures in the space shuttle maine engines using Bayesian belief networks: a feasibility study,” in Proceedings of the 14th International Conference on Tools with Artificial Intelligence, pp. 181–188, Washington, DC, USA, November 2002. View at Scopus
  33. H. L. Li and Y. Jia, “Failure mechanism analysis of lithium-ion battery,” in Proceedings of the 12th National Reliability Physics Symposium, Dujiangyan, China, 2007, (Chinese).
  34. D. Kang and H. Shin, “Investigation on cell impedance for high-power lithium-ion batteries,” Journal of Solid State Electrochemistry, vol. 11, no. 10, pp. 1405–1410, 2007. View at Publisher · View at Google Scholar · View at Scopus
  35. L. B. Christopher, E. U. Robert, and H. J. Wesley, “System modeling and instrument calibration verification with a nonlinear state estimation technique,” in Proceedings of the Maintenance and Reliability Conference, Knoxville, Tenn, USA, 1998.
  36. H. J. Wesley and U. Alexander, Mset Performance Optimization through Regularization, Nuclear Engineering and Technology, 2005.
  37. A. Wald, Sequential Analysis, Wiley, New York, NY, USA, 1947.