• DocumentCode
    2944531
  • Title

    Intermittent wiring fault detection and diagnosis for SSPC based aircraft power distribution system

  • Author

    Yaramasu, A. ; Cao, Y. ; Liu, G. ; Wu, B.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, ON, Canada
  • fYear
    2012
  • fDate
    11-14 July 2012
  • Firstpage
    1117
  • Lastpage
    1122
  • Abstract
    Intermittent wiring faults may happen in aircraft power systems in an unpredictable manner when degraded wires are wet, vibrating against metal structures, or under mechanical stress, etc. They could evolve into serious faults that may cause catastrophic incidents and thus have raised much concern. In this paper, the AB CD method is introduced to derive normal and faulty wire models with reduced complexity compared to conventional differential equation approaches. An intermittent fault detection method is proposed based on estimation of the load circuit model coefficients and parameters utilizing the spectrum information of the high-frequency signals associated with intermittent wiring faults. Furthermore, based on the faulty wiring model, a genetic algorithm is proposed to estimate the fault related wiring parameters such as fault location and resistance. The feasibility of the proposed methods has been verified by simulations.
  • Keywords
    aircraft power systems; fault location; genetic algorithms; wiring; ABCD method; SSPC based aircraft power distribution system; catastrophic incidents; fault location; fault resistance; faulty wire models; genetic algorithm; high-frequency signals; intermittent wiring fault detection; intermittent wiring fault diagnosis; mechanical stress; metal structures; spectrum information; Circuit faults; Equations; Integrated circuit modeling; Load modeling; Mathematical model; Resistance; Wires;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Intelligent Mechatronics (AIM), 2012 IEEE/ASME International Conference on
  • Conference_Location
    Kachsiung
  • ISSN
    2159-6247
  • Print_ISBN
    978-1-4673-2575-2
  • Type

    conf

  • DOI
    10.1109/AIM.2012.6266004
  • Filename
    6266004