• DocumentCode
    577830
  • Title

    Dynamic fault tree analysis based fault diagnosis system of power transformer

  • Author

    Guo, Jiang ; Shi, Lei ; Zhang, Kefei ; Gu, Kaikai ; Bai, Weimin ; Zeng, Bing ; Liu, Yajin

  • Author_Institution
    Key Lab. of Transients in Hydraulic Machinery, Wuhan, China
  • fYear
    2012
  • fDate
    6-8 July 2012
  • Firstpage
    3077
  • Lastpage
    3081
  • Abstract
    The process of transformer fault diagnosis and the theory of DFTA are first presented in this paper and then we apply DFTA to the field of transformer faults diagnosis. By establishing the fault tree of transformer, a practical, easily-extended, interactive and self-learning enabled fault diagnosis system based on DFTA for transformer is designed and implemented. With the implementation and application of the DFTA diagnosis system, it´s easy to get a reasonable result from the computer with the help of experts. The practical results demonstrated that the system can highly improve the accuracy of transformer fault diagnosis and effectively improve the reliability and safety transformer which brings much economic benefits in return.
  • Keywords
    fault diagnosis; fault trees; power transformer testing; DFTA; dynamic fault tree analysis; power transformer; safety transformer; self learning enabled fault diagnosis system; Automation; Educational institutions; Fault diagnosis; Fault trees; Intelligent control; Laboratories; Power transformers; DFTA; Fault Diagnosis System; Power Transformer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2012 10th World Congress on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-1397-1
  • Type

    conf

  • DOI
    10.1109/WCICA.2012.6358400
  • Filename
    6358400