• DocumentCode
    2871635
  • Title

    Application of Rough Set in the Construction of Optimized Fault Diagnosis Network

  • Author

    Jie Sun

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Jiangsu Teachers Univ. of Technol. (JTUT), Changzhou, China
  • Volume
    2
  • fYear
    2012
  • fDate
    28-29 Oct. 2012
  • Firstpage
    138
  • Lastpage
    141
  • Abstract
    On the basis of research of the fault diagnosis network based on rough set, optimized fault diagnosis network is proposed in this paper, it effectively makes up the original fault diagnosis network shortages. the rules of each node are simpler and the amount of the rules is decreased. the problem of repetition of matching same rules is avoided by the adjustment of the rule sets of each node. When the accuracy is same, the rules with high utilization frequency will be used at first, which effectively reduce the time of finding rules.
  • Keywords
    fault diagnosis; rough set theory; node rule sets; optimized fault diagnosis network construction; rough set theory; Accuracy; Cognition; Educational institutions; Fault diagnosis; Rotating machines; Rotors; Time frequency analysis; fault diagnosis; rough set; rule sets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2012 Fifth International Symposium on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-2646-9
  • Type

    conf

  • DOI
    10.1109/ISCID.2012.187
  • Filename
    6405586