• DocumentCode
    2373135
  • Title

    Transformer Diagnosis Approach using Frequency Response Analysis Method

  • Author

    Gonzalez, Carlos ; Pleite, Jorge ; Salas, Rosa Ana ; Vazquez, Juan

  • Author_Institution
    Carlos III de Madrid Univ.
  • fYear
    2006
  • fDate
    6-10 Nov. 2006
  • Firstpage
    2465
  • Lastpage
    2470
  • Abstract
    Power transformers are one of the main parts in the electric distribution grid. Electric utilities are really interested in their maintenance because of the critical nature of the failure. Many preventive techniques have been developed to know the state of the transformer, e.g., dissolved gas analysis or tgdelta measurement. Frequency response analysis has been proved as an effective predictive technique and one of the most accurate detecting winding displacements. However, in spite of being a well established and widely used technique, an accurate diagnosis procedure by means of FRA has not been achieved yet. It is possible to know if a fault has occurred but FRA is not able to detect accurately the causes. Our research group has been working in the last years in a model transformer and a diagnosis procedure based on its frequency response. This paper presents the proposed diagnostic procedure and the different steps in which it is divided. Besides, it emphasizes the researches obtained in the diagnosis procedure and shows some experimental results
  • Keywords
    frequency response; power transformers; electric distribution grid; frequency response analysis method; power transformers; transformer diagnosis approach; Current measurement; Fault detection; Fault diagnosis; Frequency measurement; Frequency response; Low voltage; Power industry; Power transformers; Transformer cores; US Department of Transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IEEE Industrial Electronics, IECON 2006 - 32nd Annual Conference on
  • Conference_Location
    Paris
  • ISSN
    1553-572X
  • Print_ISBN
    1-4244-0390-1
  • Type

    conf

  • DOI
    10.1109/IECON.2006.347728
  • Filename
    4153457