Linear stochastic analysis of polluted insulator leakage current

Felix Amarh, George G. Karady, Raji Sundararajan

Research output: Contribution to journalArticlepeer-review

75 Scopus citations


The measurement and analysis of leakage current (LC) for condition-based monitoring of, and as a means of predicting flashover of polluted insulators has attracted a lot of research in recent years. Results presented in the technical literature show that surface arcing of contaminated insulators causes significant variations in the magnitude and shape of the insulator's leakage current and several techniques have been proposed for analysis. This paper submits the results of applying linear stochastic and statistical (probabilistic) analysis as a signature analysis tool for flashover prediction. A new twist is presented based on statistical analysis of the leakage current envelope (rather than just instantaneous peak values), in particular, level crossings, mean exceedances over high thresholds, and extreme value analysis of the envelope. The analysis was performed offline using digitized samples of leakage current obtained from a data-acquisition (DAQ) system, which continuously scans the leakage current during flashover tests in a laboratory fog chamber.

Original languageEnglish (US)
Pages (from-to)1063-1069
Number of pages7
JournalIEEE Transactions on Power Delivery
Issue number4
StatePublished - Oct 2002


  • Envelope
  • Extreme value
  • Insulators
  • Leakage current
  • Pollution
  • Signature analysis

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


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