• DocumentCode
    3343119
  • Title

    Study on Vehicle Faults Diagnosis Algorithm Based on Mechanics of Antigen Recognition

  • Author

    Meng, Qinghua

  • Author_Institution
    Coll. of Electromech. Eng., Hangzhou Dianzi Univ.
  • fYear
    2006
  • fDate
    Aug. 2006
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The antibody-antigen recognition mathematics model built by Tarakanov was analyzed. In order to apply this mathematics model to faults diagnosis, the model was modified. According to the modified mathematics model, an antigen recognition mathematics model was presented. Decomposition of pattern class matrices was used to generate antigen recognition couples, then calculate the combination energy values of other antigen with the antigen recognition couples. The antigen belongs to the pattern class that generates the biggest combination energy. A faults diagnosis immune algorithm based on antigen recognition was put forward according to the antigen recognition mathematics model. The algorithm was applied to differential mechanism of automobile faults diagnosis. The diagnosis result shows that the algorithm has good robustness and high accuracy
  • Keywords
    automotive engineering; fault diagnosis; matrix decomposition; pattern recognition; antibody-antigen recognition mathematics model; antigen recognition mechanics; automobile faults diagnosis; pattern class matrix decomposition; Biological system modeling; Fault diagnosis; Immune system; Mathematical model; Mathematics; Organisms; Pattern recognition; Protection; Robustness; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronic and Embedded Systems and Applications, Proceedings of the 2nd IEEE/ASME International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-9721-5
  • Type

    conf

  • DOI
    10.1109/MESA.2006.296964
  • Filename
    4077791