• DocumentCode
    2318708
  • Title

    Monitoring the insulator condition by on-line voltage distribution measurement

  • Author

    Giriantari, I.A.D.

  • Author_Institution
    Dept. of Electr. Eng., Udayana Univ., Denpasar
  • fYear
    2008
  • fDate
    21-24 April 2008
  • Firstpage
    392
  • Lastpage
    394
  • Abstract
    Insulator strings in transmission system are subjected to direct weather during its service. The withstandability to the weather is different for each insulator in a string. The withstand-ability of an insulator drops due to defect on the surface and or internal the insulator. Defect on the surface can be observed by using an visual detector such as daycor corona meter, however the internal defect need a special mean of detection method. A combination of the two different detection methods can be a useful choice. On-line detection method for an internal defect of an insulator string being done by measuring the voltage across each insulator in a string. It attempts to find the exact insulator unit that is damaged by plotting the voltage distribution of each insulator in a string. It found that the voltage distribution of an insulator string was not distributed perfectly, due to many factors on the measurement work. Decisions for replacing the insulator unit has been made by observing the graph and find the extra ordinary value of the voltage. This monitoring method is quite sensitive to find the damage unit in an insulator string.
  • Keywords
    condition monitoring; insulators; transmission networks; voltage measurement; daycor corona meter; insulator condition monitoring; insulator strings; internal defect; online voltage distribution measurement; transmission system; visual detector; Capacitance; Condition monitoring; Conductors; Corona; Detectors; Equivalent circuits; Glass; Insulation; Pollution measurement; Voltage measurement; Insulator; Online detection; Transmission system; Voltage distribution;
  • 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.2008.4580309
  • Filename
    4580309