• DocumentCode
    2037594
  • Title

    Fault diagnosis for fans of coal based on CBR hybrid threshold method

  • Author

    Li Meng ; Wu Xin

  • Author_Institution
    Luoyang Sci. & Technol. Inst., Luoyang, China
  • Volume
    5
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    2008
  • Lastpage
    2011
  • Abstract
    In order to improve the fault diagnosis accuracy for fan of coal to establish the case base of fans fault and diagnosis parameter, based on CBR, the case reasoning method to make the diagnosis for the fans. Case searching, matching and reusing used by the static confidence thresholds and dynamic confidence thresholds comprehensive judgment method; improve the applicability of the fault diagnosis system.
  • Keywords
    case-based reasoning; coal; fault diagnosis; CBR; case-based reasoning; coal; comprehensive judgment method; fault diagnosis; hybrid threshold method; Accuracy; Cognition; Fans; Fault diagnosis; Maintenance engineering; Petroleum; Vibrations; Case Reasoning; Fans of Coal; Fault;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5931-5
  • Type

    conf

  • DOI
    10.1109/FSKD.2010.5569655
  • Filename
    5569655
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2037594