• DocumentCode
    2197638
  • Title

    An Improved Bayesian Network Inference Algorithm

  • Author

    Zhang Xiao-dan

  • Author_Institution
    Inst. of Sci. & Tech. Inf. of China, Beijing, China
  • fYear
    2010
  • fDate
    1-3 Nov. 2010
  • Firstpage
    389
  • Lastpage
    392
  • Abstract
    In the on-line fault diagnosis of auto engineer before factory in FAW, we adopt Bayesian network inference to get diagnosis result. To reduce inference complexity, an improved Bayesian network inference algorithm is presented based on graph search strategy under Martelli standard. Through proof, the complexity of the improved algorithm can reduce from exponential level to polynomial level. In experiment, the algorithm has been realized and been compared with expert system method, the experiment shows that the improved algorithm can improve the diagnosis efficiency. The algorithm has been applied in the on-line fault diagnosis of auto engineer before factory in FAW successfully.
  • Keywords
    automotive engineering; belief networks; computational complexity; expert systems; fault diagnosis; graph theory; inference mechanisms; production engineering computing; search problems; Bayesian network; Martelli standard; auto engineer; expert system method; graph search strategy; inference algorithm; inference complexity; online fault diagnosis; Bayesian network inference; Martelli standard; polynomial level algorithm complexity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networks and Intelligent Systems (ICINIS), 2010 3rd International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4244-8548-2
  • Electronic_ISBN
    978-0-7695-4249-2
  • Type

    conf

  • DOI
    10.1109/ICINIS.2010.183
  • Filename
    5693567