• DocumentCode
    3011310
  • Title

    Power transformer fault diagnosis based on extension theory

  • Author

    Zhang, Limin ; Li, Zheng ; Ma, Hongzhong ; Ju, P.

  • Author_Institution
    Coll. of Electr. Eng., Hohai Univ., Nanjing
  • Volume
    3
  • fYear
    2005
  • fDate
    29-29 Sept. 2005
  • Firstpage
    1763
  • Abstract
    Based on extension theory and conventional DGA (dissolved gas analysis) three-ratio method, this paper proposes an extension theory based power transformer fault diagnosing method. Extension theory tries to solve contradictions and incompatibility problems, its theoretical pillars are matter element theory and extension set theory. This paper first briefly introduces the basic concept of matter element theory, establishes the matter element models for three-ratio method, after briefly discusses extension set theory, detailed analysis is carried out on the extended relation function (ERF) adopted in this paper for transformer fault diagnosis. The detailed diagnosing steps are offered. Simulation proves that the proposed method can overcome the drawbacks of the conventional three-ratio method, such as no matching and failure to diagnose multi-fault. It enhances diagnosing accuracy
  • Keywords
    fault diagnosis; power transformers; set theory; dissolved gas analysis; extended relation function; extension set theory; matter element theory; power transformer fault diagnosis; three-ratio method; Dissolved gas analysis; Fault diagnosis; Gases; Hydrogen; IEC; Mathematical model; Oil insulation; Power transformers; Set theory; Thermal stresses; DGA; extension theory; fault diagnosis; power transformer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems, 2005. ICEMS 2005. Proceedings of the Eighth International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    7-5062-7407-8
  • Type

    conf

  • DOI
    10.1109/ICEMS.2005.202862
  • Filename
    1575059