Abstract
A failure detection method based on fuzzy comprehensive evaluation for integrated navigation systems was presented in this paper. By using fuzzy comprehensive evaluation, this method judged the measured data of every subsystem of a Kalman filter comprehensively in order to determine their states. This method overcame some shortcomings of conventional failure detection methods. At last, the contrastive experiment among this method, chi-square test and the method of data change rate has indicated that chi-square test could recognize the larger outliers, but couldn’t detect the lesser, that the method of data change rate couldn’t deal with the longtime continuous failures, and that the method based on fuzzy comprehensive evaluation could recognize all of the failures. So it was a quite practical method.
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© 2005 Springer-Verlag Berlin Heidelberg
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Liu, G., Zhang, Y., Qiang, W., Sun, Z. (2005). Failure Detection Method Based on Fuzzy Comprehensive Evaluation for Integrated Navigation System. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11540007_69
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DOI: https://doi.org/10.1007/11540007_69
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28331-7
Online ISBN: 978-3-540-31828-6
eBook Packages: Computer ScienceComputer Science (R0)