• DocumentCode
    1064134
  • Title

    Diagnosis knowledge representation and inference

  • Author

    Luo, Jianhui ; Tu, Haiying ; Pattipati, Krishna ; Qiao, Liu ; Chigusa, Shunsuke

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Connecticut Univ., Storrs, CT
  • Volume
    9
  • Issue
    4
  • fYear
    2006
  • Firstpage
    45
  • Lastpage
    52
  • Abstract
    In this article, we presented three graphical modeling techniques for diagnostic knowledge representation and inference: behavioral Petri nets (BPNs), multisignal flow graphs, and Bayesian networks (BNs). By using the same example from (Portinale, 1997) we showed that both multisignal flow graph model and BN model yield the same diagnosis. In addition, we showed that the P-invariant concept in BPN is similar to the D-separation concept in BNs
  • Keywords
    Petri nets; belief networks; graph theory; inference mechanisms; matrix algebra; signal flow graphs; BN model yield; BPN; Bayesian networks; D-separation concept; P-invariant concept; behavioral Petri nets; diagnosis knowledge representation; diagnostic knowledge representation; graphical modeling techniques; inference system; multisignal flow graphs; Bayesian methods; Engines; Fault detection; Fault diagnosis; Flow graphs; Graphical models; Interference; Knowledge representation; Petri nets; Testing;
  • fLanguage
    English
  • Journal_Title
    Instrumentation & Measurement Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1094-6969
  • Type

    jour

  • DOI
    10.1109/MIM.2006.1664042
  • Filename
    1664042
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1064134