• DocumentCode
    2319039
  • Title

    Automatic thermal monitoring on power transformers

  • Author

    Sumaryadi ; Cahyono, B. ; Pharmatrisanti, A. ; Siregar, R. ; Tamsir, Y.

  • Author_Institution
    PT. PLN (Persero) P3B Jawa Bali RJKB, Jalan Mayjend Sutoyo 1, Jakarta
  • fYear
    2008
  • fDate
    21-24 April 2008
  • Firstpage
    485
  • Lastpage
    487
  • Abstract
    In order to take any proper maintenance actions the transformers conditions should be acquired. Since the transformer performance is limited by its main insulation condition, we focus on the thermal monitoring. As the transformer failure statistic rises, the root cause and ways to solve the problem should be found. Based on failure modes and effect analysis overloaded, external disturbances and ambient condition have affected the transformer performance. Due to this complexity, a physical model is the fittest tool to solve the problem. In order to build such a model, automatic thermal monitoring should be developed. The system will record any temperature changes in any single event experienced by the transformer every 5 seconds. Three transformers that have been chosen as the pilot project are coming from 150/20 kV 60 MVA class. In this paper we would like to describe our experiences in installing sensors and developing the thermal modeling.
  • Keywords
    condition monitoring; failure analysis; fault diagnosis; maintenance engineering; power transformer insulation; thermal insulation; automatic thermal monitoring; condition monitoring; failure modes and effect analysis; insulation condition; power transformers; transformer failure statistic; Computerized monitoring; Condition monitoring; Failure analysis; Performance analysis; Power transformer insulation; Power transformers; Sensor phenomena and characterization; Statistics; Temperature sensors; Thermal sensors; Automatic thermal monitoring; condition monitoring; physical model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Condition Monitoring and Diagnosis, 2008. CMD 2008. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1621-9
  • Electronic_ISBN
    978-1-4244-1622-6
  • Type

    conf

  • DOI
    10.1109/CMD.2008.4580331
  • Filename
    4580331