• DocumentCode
    554089
  • Title

    Application of D-S evidence theory in equipment fault diagnosis

  • Author

    Ma Bin ; Wang Di ; Wang Changtao ; Guo Tongying ; Han Zhonghua

  • Author_Institution
    Inf. & Control Eng. Fac., Shenyang Jianzhu Univ., Shenyang, China
  • Volume
    3
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    1620
  • Lastpage
    1623
  • Abstract
    For the situation that the changes of the state parameters are uncertain in the equipment working process, this would create difficulties for equipment fault diagnosis. In this paper, we utilize the D-S (Dempster-Shafer) evidence theory data fusion algorithm for data processing. The algorithm reflects the great advantages in terms of dealing with uncertain data. It effectively improves the reliability of fault diagnosis, and achieves the detection and diagnosis for equipment operational status.
  • Keywords
    fault diagnosis; inference mechanisms; machinery; reliability; sensor fusion; D-S evidence theory; Dempster-Shafer evidence theory; data fusion algorithm; data processing; equipment fault diagnosis; equipment working process; reliability; state parameters; Cognition; Fault diagnosis; Fuses; Reliability theory; Sensor fusion; Uncertainty; D-S evidence theory; data fusion; fault diagnosis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2011 Seventh International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2157-9555
  • Print_ISBN
    978-1-4244-9950-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2011.6022269
  • Filename
    6022269