• DocumentCode
    3027459
  • Title

    A knowledge-based reliability analysis system

  • Author

    Hofmann, Martin O. ; McCullough, Claire L.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Alabama Univ., Huntsville, AL, USA
  • fYear
    1990
  • fDate
    4-7 Nov 1990
  • Firstpage
    84
  • Lastpage
    87
  • Abstract
    Probabilistic reliability analysis is reviewed, and an expert system that assists a reliability engineer in performing risk analysis for complex systems is presented. The system releases the reliability engineer from the repetitive tasks of enumerating support states and modifying the primary failure equation and assists in organizing target system descriptions into an explicit model and in deriving a block diagram from it. The methodology used to derive Boolean failure equations from a description of the target system is described. System functionality is modeled in such a way that reliability analysis can be facilitated and automated as far as possible. Knowledge about objects in the application domain, i.e. components and functions, as well as knowledge about the analysis process is incorporated into the analysis system. Knowledge is represented in the form of frames and rules in the function dependency model and in the supporting agents
  • Keywords
    engineering computing; expert systems; knowledge representation; probability; reliability; Boolean failure equations; agents; complex systems; expert system; function dependency model; knowledge based systems; knowledge representation; reliability analysis system; risk analysis; Equations; Failure analysis; Maintenance; Power generation; Power system modeling; Power system reliability; Redundancy; Reliability engineering; Risk analysis; Risk management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 1990. Conference Proceedings., IEEE International Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    0-87942-597-0
  • Type

    conf

  • DOI
    10.1109/ICSMC.1990.142065
  • Filename
    142065