• DocumentCode
    2261751
  • Title

    Algorithm development for subgraphs for PMC models for fault analysis

  • Author

    Prasad, Vinod B.

  • Author_Institution
    Dept. of Electr. & Comput. Eng. Technol., Bradley Univ., Peoria, IL, USA
  • fYear
    1993
  • fDate
    16-18 Aug 1993
  • Firstpage
    457
  • Abstract
    Graph theoretical models of the PMC model designed for fault diagnosis at the system level are studied. For the purpose of writing axioms for the inference engine using the concept of artificial intelligence the graphs for various levels of fault diagnosis are divided into subgraphs which have a tree like structure. On the basis of subgraphs a complete set of axioms are written, and these axioms together with the set of supports are used for fault analysis
  • Keywords
    artificial intelligence; computer testing; distributed processing; graph theory; inference mechanisms; multiprocessor interconnection networks; system recovery; PMC models; artificial intelligence; axiom writing; distributed computer architectures; fault analysis; graph theoretical models; inference engine; subgraphs; system level fault diagnosis; tree like structure; Algorithm design and analysis; Engines; Fault diagnosis; Heart; Performance analysis; Performance evaluation; System testing; Tree data structures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on
  • Conference_Location
    Detroit, MI
  • Print_ISBN
    0-7803-1760-2
  • Type

    conf

  • DOI
    10.1109/MWSCAS.1993.342989
  • Filename
    342989
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2261751