• DocumentCode
    3570496
  • Title

    The application of fuzzy reasoning in communication network fault diagnosis

  • Author

    Fuping Fan ; Xingming Li

  • Author_Institution
    Sch. of Commun. & Inf. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2014
  • Firstpage
    121
  • Lastpage
    125
  • Abstract
    Fault management is an important part of network management, it is responsible for fault detection and locating the fault in the network. The modern network system, distributing widely, has a huge, complicated structure. Even if there is a small fault, it would bring users huge economic losses, However, in the actual network, a network fault usually leads to a number of alarm events, so we must analysis the correlation among the alarm events, and then determine the root alarm. In order to analyse the correlation among alarms, the network alarm was processed into fuzzy network alarm, which is compatible with fuzzy reasoning, by fuzzy set theory and fuzzy reasoning technology. Then set up corresponding knowledge representation and reasoning method for fuzzy reasoning. In this way, the root alarm can be located more quickly and accurately.
  • Keywords
    alarm systems; computer network management; fault diagnosis; fuzzy reasoning; fuzzy set theory; knowledge representation; telecommunication computing; alarm event; communication network fault diagnosis; fault management; fuzzy network alarm; fuzzy reasoning; fuzzy set theory; knowledge representation; network management; root alarm; Association rules; Cognition; Databases; Fault diagnosis; Fuzzy reasoning; Libraries; Predictive models; fuzzy alarm; fuzzy reasoning; fuzzy set theory; root alarm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Science and Systems Engineering (CCSSE), 2014 IEEE International Conference on
  • Print_ISBN
    978-1-4799-6396-6
  • Type

    conf

  • DOI
    10.1109/CCSSE.2014.7224521
  • Filename
    7224521