• DocumentCode
    1493679
  • Title

    Condition assessment of power transformer on-load tap-changers using wavelet analysis

  • Author

    Kang, Pengju ; Birtwhistle, D.

  • Author_Institution
    Res. Concentration in Electr. Energy, Queensland Univ. of Technol., Brisbane, Qld., Australia
  • Volume
    16
  • Issue
    3
  • fYear
    2001
  • fDate
    7/1/2001 12:00:00 AM
  • Firstpage
    394
  • Lastpage
    400
  • Abstract
    The operation of a power transformer on-load tap-changer (OLTC) produces a well-defined series of vibration bursts as its signature. Due to the harmonic and nonstationary nature of the transient vibration signal, traditional frequency and time-frequency techniques are on longer effective for characterization of this type of vibration signals, as the localized time domain features, such as delays between bursts, the number of bursts, and the strengths of bursts, are essential for the condition assessment of OLTC. A wavelet transform based technique is developed in this paper to characterize the OLTC vibration signals. This technique gives a simplified format for displaying and representing the essential features of the OLTC vibration signatures. Application results from a selector type OLTC demonstrate that the features extracted in the wavelet domain can be utilized to provide reliable indications of the actual heath of an OLTC
  • Keywords
    condition monitoring; power system transients; power transformers; transformer windings; vibrations; wavelet transforms; OLTC vibration signals characterisation; condition assessment; localized time domain features; power transformer on-load tap-changers; transient vibration signal; vibration burst signature; wavelet analysis; Continuous wavelet transforms; Feature extraction; Frequency; Power transformers; Signal analysis; Timing; Vibration measurement; Wavelet analysis; Wavelet domain; Wavelet transforms;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/61.924817
  • Filename
    924817