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Volume 28 Issue 5
May  2002
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Journal of Beijing University of Aeronautics and Astronautics  > 2002  >  28(5): 550-554.
LIU Zhun, CHEN Zhe. New Fault Detection Structure and Algorithm Based on Federated Filter[J]. Journal of Beijing University of Aeronautics and Astronautics, 2002, 28(5): 550-554. (in Chinese)
Citation: LIU Zhun, CHEN Zhe. New Fault Detection Structure and Algorithm Based on Federated Filter[J]. Journal of Beijing University of Aeronautics and Astronautics, 2002, 28(5): 550-554. (in Chinese)
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New Fault Detection Structure and Algorithm Based on Federated Filter

  • Beijing University of Aeronautics and Astronautics, School of Automation Science and Electrical Engineering

  • Received Date: 16 Jan 2001
  • Publish Date: 31 May 2002
    Abstract
  • Based on federated Kalman filter, a new fault detection structure and algorithm was presented. The structure performs fault detection with the common states of local filters and reference filter. Chi-square test and Elman neural network test algorithm were presented. As an application, comparisons for these algorithms are simple and reliable, these algorithms can detect the errors for both sensors and reference system, and have excellent fault tolerance performances, fast fault identifying and isolating ability.

     

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    • References(1)
  • [1] Near A Carlson. Federated filter for fault-tolerant integrated naviga tion system .In:Proc of IEEE PLANS '88 .Orlando FL,1988.110~119. [2]闻 新,张洪钺,周 露. 控制系统的故障诊断和容错控制[M].北京:机械工业出版社,1998. [3]Da Ren. Failure detection of dynamical systems with the state chi-squre test[J].Journal of Guidance Control and Dnamics,1994,17(2):271~277. [4]楼顺天,施 阳.基于MATLAB的系统分析与设计——神经网络[M].西安:西安电子科技大学出版社,1999. [5]袁 信,俞济祥,陈 哲.导航系统[M].北京:航空工业出版社,1993.
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