• DocumentCode
    1520102
  • Title

    Condition monitoring of power transformer on-load tap-changers. I. Automatic condition diagnostics

  • Author

    Kang, P. ; Birtwhistle, D.

  • Author_Institution
    United Technol. Res. Center, East Hartford, CT, USA
  • Volume
    148
  • Issue
    4
  • fYear
    2001
  • fDate
    7/1/2001 12:00:00 AM
  • Firstpage
    301
  • Lastpage
    306
  • Abstract
    Automatic diagnostics for an on-load tap-changer (OLTC) requires a reliable technique that can classify vibration signals measured using an accelerometer mounted on the tank. In the paper, the authors investigate the automatic classification of OLTC vibration signatures using a self-organising map (SOM) and develop a feature extraction procedure that can extract essential features from the original vibration signature. The proposed SOM signature classifier is evaluated with a database established for one type of distribution class OLTC. The application results reveal the practical advantages of SOM for a number of tasks in OLTC condition diagnostics
  • Keywords
    computerised monitoring; condition monitoring; fault diagnosis; power distribution faults; power engineering computing; power transformer testing; self-organising feature maps; signal classification; vibration measurement; OLTC vibration signatures; accelerometer; automatic condition diagnostics; condition monitoring; power distribution transformer; power transformer on-load tap-changers; self-organising feature map; vibration signals classification;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission and Distribution, IEE Proceedings-
  • Publisher
    iet
  • ISSN
    1350-2360
  • Type

    jour

  • DOI
    10.1049/ip-gtd:20010389
  • Filename
    941371