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

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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
Condition Assessment of Metal Oxide Surge Arrester Based on Multi-Layer SVM Classifier
M Khodsuz , M Mirzaie
Abstract:   (5947 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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Keywords: Metal Oxide Surge Arrester , Leakage Current , Condition Monitoring , Indicator , Multi-Layer SVM
Full-Text [PDF 314 kb]   (3618 Downloads)    
Type of Study: Research Paper | Subject: High Voltage Engineering
Received: 2015/06/07 | Revised: 2016/04/24 | Accepted: 2015/10/21
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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.