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A Fault Detection Method of Redundant IMU Using Modified Principal Component Analysis
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 Title & Authors
A Fault Detection Method of Redundant IMU Using Modified Principal Component Analysis
Lee, Won-Hee; Park, Chan-Gook;
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A fault detection process is necessary for high integrity systems like satellites, missiles and aircrafts. Especially, the satellite has to be expected to detect faults autonomously because it cannot be fixed by an expert in the space. Faults can cause critical errors to the entire system and the satellite does not have sufficient computation power to operate a large scale fault management system. Thus, a fault detection method, which has less computational burden, is required. In this paper, we proposed a modified PCA (Principal Component Analysis) as a powerful fault detection method of redundant IMU (Inertial Measurement Unit). The proposed method combines PCA with the parity space approach and it is much more efficient than the others. The proposed fault detection algorithm, modified PCA, is shown to outperform fault detection through a simulation example.
FDI;Inertial Sensor;Redundant IMU;PCA;Parity Space;
 Cited by
다중 원추형으로 배치된 관성센서의 FDI 성능 분석,김현진;송진우;강철우;박찬국;

한국항공우주학회지, 2015. vol.43. 11, pp.943-951 crossref(new window)
FDI performance Analysis of Inertial Sensors on Multiple Conic Configuration, Journal of the Korean Society for Aeronautical & Space Sciences, 2015, 43, 11, 943  crossref(new windwow)
Bishop, C. M., Pattern Recognition and Machine Learning, Springer, Cambridge, U.K., 2006.

Titterton, D. H., and Weston, J. L., Strapdown inertial navigation technology - 2nd edition, The Institution of Electrical Engineers, Cornwall, U.K., 2004.

Han, H. Y., Pattern Recognition Theory, Hanbit Media, lnc., Seoul, South Korea, 2009

Chen, J., and Patton, R. J., Robust model-based fault diagnosis for dynamic systems, Kluwer academec publichers, Norwell, U.S.A., 1999.

Jin, H., and Zhang, H. Y., "Optimal Parity Vector Sensitive to Designated Sensor Fault", IEEE Transactions on Aerospace and Electronic Systems, Vol. 35, No. 4, 1999, pp. 1122-1128. crossref(new window)

Kim, K. H., "An Adaptive Filter Design for a Fault Tolerant Navigation System", Ph. D. Dissertation, Department of Computer Science & Electrical Engineering, Seoul National University, Seoul, South Korea, 2006.

Pessel, N., Balmat, J-F., Lafonti, F., and Bonna, J., "An Improved PCA Fault Detection for the Diagnosis", Proceedings of the 9th WSEAS International Conference on Automatic Control, Modeling & Simulation, Istanbul, Turkey, 2007.

Potter, J.E., and Suman, M.C., "Thresholdless redundancy management with arrays of skewed instruments", Integrity in Electronic Flight Control Systems, NATO AGARDOGRAPH-224, 1977, pp. 15-25.

Ragot, J., Aitouche, A., Kratz, F., and Maquin, D., "Detection and location of gross errors in instruments using parity space technique", International Journal of Mineral Processing, Vol. 31, Issue 3-4, 1991, pp. 281-299. crossref(new window)

Ray, A., and Luck, R., "An Introduction to Sensor Signal Validation in Redundant Measurement Systems", IEEE Control Systems Magazine, Vol. 11, No. 2, 1991, pp. 44-49. crossref(new window)

Isermann, R., Fault-Diagnosis Systems, Springer, Darmstadt, Germany, 2006.

Cho, S. Y., and Park, C. G., "Calibration of a Redundant IMU", AIAA Guidance, Navigation, and Control Conference, Providence, RI, 2004.

Cho, S. Y., and Park, C. G., "A Calibration Technique for a Redundant IMU Containing Low-Grade Inertial Sensors", ETRI Journal, Vol. 27, No. 4, 2005, pp. 418-426. crossref(new window)

Tharrault, Y., Mourot, G., Ragot, J., and Maquin, D., "Fault Detection and Isolation with Robust Principal Component Analysis", International Journal of Applied Mathematics and Computer Science,, Vol. 18, No. 4, 2008, pp. 429-442.