• DocumentCode
    2647874
  • Title

    Regression technique for prediction of salt contamination severity on high voltage insulators

  • Author

    Almad, A.S. ; Ahmad, Harith ; Salam, Md Abdus ; Ahmad, Ahmad S.

  • Author_Institution
    Fac. of Electr. Eng., Univ. Teknologi Malaysia, Malaysia
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    218
  • Abstract
    On the east-coast of the Malaysia Peninsular, high voltage insulators of power plants and factories suffer from rapid salt contamination accumulation because of heavy wind coming from the South China Sea. One attempt has been made at one of these plants which is located about 500 meters from the seashore to determine the severity of this kind of contamination and subsequently to determine a suitable mitigation method to overcome this problem. This work describes a mathematical model, which could help to determine the contamination level. It has been proven that the contamination severity predictive model is possible by using a regression technique and it is a useful method for determining the Equivalent Salt Deposit Density (ESDD)
  • Keywords
    insulator contamination; insulator testing; statistical analysis; 500 m; Malaysia Peninsular; South China Sea; contamination level; contamination severity predictive model; equivalent salt deposit density; factories; heavy wind; high voltage insulators; mathematical model; mitigation method; power plants; rapid salt contamination; regression technique; salt contamination severity; Contamination; Flashover; Humidity; Insulation; Meteorology; Ocean temperature; Pollution; Power system reliability; Voltage; Wind speed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Insulation and Dielectric Phenomena, 2000 Annual Report Conference on
  • Conference_Location
    Victoria, BC
  • Print_ISBN
    0-7803-6413-9
  • Type

    conf

  • DOI
    10.1109/CEIDP.2000.885266
  • Filename
    885266