Failure Detection Method Based on Fuzzy Comprehensive Evaluation for Integrated Navigation System (original) (raw)

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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Authors and Affiliations

  1. State Key Laboratory of Intelligent Technology and Systems, Graduate School at Shenzhen, Tsinghua University, Shenzhen, 518055, China
    Guoliang Liu & Zengqi Sun
  2. Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, 15001, China
    Yingchun Zhang & Wenyi Qiang

Authors

  1. Guoliang Liu
  2. Yingchun Zhang
  3. Wenyi Qiang
  4. Zengqi Sun

Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore
    Lipo Wang
  2. Honda Research Institute Europe GmbH, Offenbach/Main, Germany
    Yaochu Jin

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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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