• DocumentCode
    1886448
  • Title

    DCA based multi-level small fault diagnosis

  • Author

    Zhou, Funa ; Tang, Tianhao ; Wen, Chenglin

  • Author_Institution
    Dept. of Electr. Autom., Shanghai Maritime Univ., Shanghai
  • fYear
    2008
  • fDate
    10-12 Nov. 2008
  • Firstpage
    486
  • Lastpage
    489
  • Abstract
    To diagnose multiple faults of multivariate system, DCA (designated component analysis) is introduced to avoid the pattern compounding problem of PCA (principal component analysis). In this paper and a DCA based multi-level small fault diagnosis method is developed for multiple faults diagnosis when small faults are involved in the system. Simulation for observation data involved 4 faults shows its efficiency.
  • Keywords
    fault diagnosis; power system faults; principal component analysis; designated component analysis; multilevel small fault diagnosis; multivariate system; principal component analysis; Covariance matrix; Design automation; Fault detection; Fault diagnosis; History; Information analysis; Matrix decomposition; Monitoring; Pattern analysis; Principal component analysis; DCA; PCA; fault diagnosis; small fault;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Technology, 2008. ICCT 2008. 11th IEEE International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-2250-0
  • Electronic_ISBN
    978-1-4244-2251-7
  • Type

    conf

  • DOI
    10.1109/ICCT.2008.4716084
  • Filename
    4716084
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1886448