• DocumentCode
    2333734
  • Title

    The Diagnostic Dendritic Cell Algorithm for robotic systems

  • Author

    Bi, Ran ; Timmis, Jon ; Tyrrell, Andy

  • Author_Institution
    Dept. of Electron., Univ. of York, York, UK
  • fYear
    2010
  • fDate
    18-23 July 2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper presents a lightweight, immune-inspired system for the diagnosis of faults. We adapt the dendritic cell algorithm, to develop the Diagnostic Dendritic Cell Algorithm (D-DCA) to afford on-line diagnosis of stuck-at-fault conditions. Our work shows that the D-DCA is capable of successfully diagnosing simple faults within an acceptable time frame, with an acceptable accuracy.
  • Keywords
    artificial immune systems; fault diagnosis; robots; diagnostic dendritic cell algorithm; fault diagnosis; lightweight immune-inspired system; online diagnosis; robotic systems; stuck-at-fault conditions; Algorithm design and analysis; Fault diagnosis; Mobile robots; Real time systems; Robot sensing systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2010 IEEE Congress on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-6909-3
  • Type

    conf

  • DOI
    10.1109/CEC.2010.5586499
  • Filename
    5586499