• DocumentCode
    2180794
  • Title

    Expert system based automatic network fault management system

  • Author

    Yeh, Show-Way ; Wu, Chuan-lin ; Sheng, Hong-Dah ; Hung, Chaw-Kwei ; Lee, Rei-Chi

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
  • fYear
    1989
  • fDate
    20-22 Sep 1989
  • Firstpage
    767
  • Lastpage
    774
  • Abstract
    An expert system for network management is designed and prototyped to do network troubleshooting automatically. The expert system employs management information provided by a monitoring mechanism of the network. The whole spectrum of the fault management information is analyzed. The management knowledge derived is categorized into five types: the physical property, the experience in the past, the heuristic rule of thumb, the predictable problems, and the deep knowledge. These knowledge types and related rules are divided into groups to improve reasoning speed. The expert system is composed of a problem manager, a problem analyzer, and many problem solvers. A prototyped expert system, using simulated faults, shows that the expert-system-based fault management system can automatically diagnose problems and take corrective actions
  • Keywords
    expert systems; telecommunication network management; telecommunications computing; expert system; heuristic rule of thumb; monitoring mechanism; network management; network troubleshooting; physical property; predictable problems; problem analyzer; problem manager; Computational modeling; Computer network management; Computer networks; Diagnostic expert systems; Expert systems; Information management; Knowledge management; Laboratories; Propulsion; Thumb;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Software and Applications Conference, 1989. COMPSAC 89., Proceedings of the 13th Annual International
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-8186-1964-3
  • Type

    conf

  • DOI
    10.1109/CMPSAC.1989.65178
  • Filename
    65178