Volume 11, Number 4 (December 2015)                   IJEEE 2015, 11(4): 354-362 | Back to browse issues page

DOI: 10.22068/IJEEE.11.4.354

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Khodsuz M, Mirzaie M. Condition Assessment of Metal Oxide Surge Arrester Based on Multi-Layer SVM Classifier . IJEEE. 2015; 11 (4) :354-362
URL: http://ijeee.iust.ac.ir/article-1-806-en.html

Abstract:   (1467 Views)

This paper introduces the indicators for surge arrester condition assessment based on the leakage current analysis. Maximum amplitude of fundamental harmonic of the resistive leakage current, maximum amplitude of third harmonic of the resistive leakage current and maximum amplitude of fundamental harmonic of the capacitive leakage current were used as indicators for surge arrester condition monitoring. Also, the effects of operating voltage fluctuation, third harmonic of voltage, overvoltage and surge arrester aging on these indicators were studied. Then, obtained data are applied to the multi-layer support vector machine for recognizing of surge arrester conditions. Obtained results show that introduced indicators have the high ability for evaluation of surge arrester conditions.


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Type of Study: Research Paper | Subject: High- Voltage Engineering
Received: 2015/06/07 | Accepted: 2015/10/21 | Published: 2016/01/02

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