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Volume 41 Issue 10
Oct.  2015
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Journal of Beijing University of Aeronautics and Astronautics  > 2015  >  41(10): 1902-1909.
SUN Weichao, LI Wenhai, LI Wenfenget al. Avionic devices fault diagnosis based on fusion method of rough set and D-S theory[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(10): 1902-1909. doi: 10.13700/j.bh.1001-5965.2015.0030(in Chinese)
Citation: SUN Weichao, LI Wenhai, LI Wenfenget al. Avionic devices fault diagnosis based on fusion method of rough set and D-S theory[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(10): 1902-1909. doi: 10.13700/j.bh.1001-5965.2015.0030(in Chinese)
shu

Avionic devices fault diagnosis based on fusion method of rough set and D-S theory

doi: 10.13700/j.bh.1001-5965.2015.0030
  • 1.

    Graduate Student's Brigade, Naval Aeronautical Engineering University, Yantai 264001, China

  • 2. Department of Scientific Research, Naval Aeronautical Engineering University, Yantai 264001, China

  • Received Date: 15 Jan 2015
  • Rev Recd Date: 17 Apr 2015
  • Publish Date: 20 Oct 2015
    Abstract
  • In order to solve the conflict of multi-sources information in the fault diagnosis process of avionics electric equipment, a method based on rough set theory and evidence theory for fault diagnosis was proposed. Because both rough set theory and evidence theory had advantages in dealing with uncertainty problems. The method proposed converted diagnostic data to mass function which was needed in evidence theory in order to fuse results with rough set theory. Meanwhile, the method defined boundary rough entropy, got dynamic weight parameters which reflected the significance of every information source used in fusion process with the entropy and improve the rule for conflicting evidence combination. The experiment shows that the method improves the fusion results' accuracy of diagnostic information effectively and has a good practical value in process of avionics electric fault diagnosis.

     

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