• DocumentCode
    532082
  • Title

    The application of CBR and grey correlation in fault diagnosis system

  • Author

    Chen, Jun-Jie ; Duan, Jiang-Ii ; Gao, Bao-Iu ; Lu, Ting-Tingr

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Taiyuan Univ. of Technol., Taiyuan, China
  • Volume
    4
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    In order to improve the traditional mechanical fault diagnosis expert system, case-based reasoning (CBR) is introduced in this paper for fault diagnosis and a CBR fault diagnosis model is established. In the process of case retrieval, an improved grey correlation model is used to calculate similarity between cases. This model can accurately retrieve similar cases and improve the speed of case retrieval. Finally, a bearing fault diagnosis expert system is established with the method proposed in this paper.
  • Keywords
    case-based reasoning; correlation methods; expert systems; fault diagnosis; grey systems; machine bearings; mechanical engineering computing; CBR fault diagnosis model; case retrieval; case-based reasoning; grey correlation model; mechanical fault diagnosis expert system; Expert systems; Industries; CBR; expert system; fault diagnosis; grey correlation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5619421
  • Filename
    5619421
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=532082