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Mathematical Problems in Engineering
Volume 2012, Article ID 740752, 15 pages
http://dx.doi.org/10.1155/2012/740752
Research Article

IMU Fault Detection Based on 𝜒 2 -CUSUM

1Space Systems Division, Institute of Aeronautics and Space (IAE), 12.228-904 São José dos Campos, SP, Brazil
2Mechanic and Control Division, National Institute for Space Research (INPE), 12.227-010 São José dos Campos, SP, Brazil

Received 16 December 2011; Accepted 1 February 2012

Academic Editor: Tadashi Yokoyama

Copyright © 2012 Élcio Jeronimo de Oliveira 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. E. Y. Chow and A. S. Willsky, “Analytical redundancy and the design of robust failure detection systems,” IEEE Transactions on Automatic Control, vol. AC-29, no. 7, pp. 603–614, 1984. View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  2. J. C. Deckert, M. N. Desai, J. J. Deyst, and A. S. Willsky, “F-8 dfbw sensor failure identification using analytic redundancy,” IEEE Transactions on Automatic Control, vol. AC-22, no. 5, pp. 795–804, 1977. View at Google Scholar · View at Scopus
  3. X. C. Lou, A. S. Willsky, and G. C. Verghese, “Failure detection with uncertain models,” in Proceedings of the IEEE American Control Conference, pp. 956–959, 1983. View at Scopus
  4. Z. Han, W. Li, and S. L. Shah, “Fault detection and isolation in the presence of process uncertainties,” Control Engineering Practice, vol. 13, no. 5, pp. 587–599, 2005. View at Publisher · View at Google Scholar · View at Scopus
  5. M. A. Sturza, “Skewed axis inertial sensor geometry for optimal performance,” in Proceedings of the Digital Avionics Systems Conference (AIAA '88), pp. 128–135, San Jose, Calif, USA, 1988.
  6. S. Kim, Y. Kim, and C. Park, “Failure diagnosis of skew-configured aircraft inertial sensors using wavelet decomposition,” IET Control Theory and Applications, vol. 1, no. 5, pp. 1390–1397, 2007. View at Publisher · View at Google Scholar · View at Scopus
  7. E. J. de Oliveira, Fault detection and isolation in inertial measurement units with minimal redundancy of fiber optic gyros, Ph.D. thesis, National Institute for Space Research (INPE), Sao Jose dos Campos, SP, Brazil, 2011.
  8. P. G. Savage, Introduction to Strapdown Inertial Navigation Systems, Strapdown Associates, Maple Plain, Minn, USA, 11st edition, 2005.
  9. D. S. Shim and C. K. Yang, “Geometric FDI based on SVD for redundant inertial sensor systems,” in Proceedings of the 5th Asian Control Conference, pp. 1094–1100, July 2004. View at Scopus
  10. S. V. Vaseghi, Advanced Digital Signal Processing and Noise Reduction, John Wiley & Sons, New York, NY, USA, 2nd edition, 2000.
  11. P. J. Rousseeuw, “Robust estimation and identifying outliers,” in Handbook of Statistical Methods for Engineers and Scientists, H. M. Wadsworth, Ed., pp. 16.1–16.24, MacGraw-Hill, New York, NY, USA, 1st edition, 1990. View at Google Scholar
  12. G. Qiu, “An improved recursive median filtering scheme for image processing,” IEEE Transactions on Image Processing, vol. 5, no. 4, pp. 646–648, 1996. View at Publisher · View at Google Scholar
  13. V. A. Siris and F. Papagalou, “Application of anomaly detection algorithms for detecting SYN flooding attacks,” Computer Communications, vol. 29, no. 9, pp. 1433–1442, 2006. View at Publisher · View at Google Scholar · View at Scopus
  14. M. Basseville and I. V. Nikiforov, Detection of Abrupt Changes, Prentice-Hall, Upper Saddle River, NJ, USA, 1 edition, 1993.