<?xml version="1.0" encoding="utf-8"?>
<journal>
<title>IRANIAN JOURNAL OF ELECTRICAL AND ELECTRONIC ENGINEERING</title>
<title_fa></title_fa>
<short_title>IJEEE</short_title>
<subject>Engineering &amp; Technology</subject>
<web_url>http://ijeee.iust.ac.ir</web_url>
<journal_hbi_system_id>18</journal_hbi_system_id>
<journal_hbi_system_user>agent2</journal_hbi_system_user>
<journal_id_issn>1735-2827</journal_id_issn>
<journal_id_issn_online>1735-2827</journal_id_issn_online>
<journal_id_pii></journal_id_pii>
<journal_id_doi></journal_id_doi>
<journal_id_iranmedex></journal_id_iranmedex>
<journal_id_magiran></journal_id_magiran>
<journal_id_sid></journal_id_sid>
<journal_id_nlai></journal_id_nlai>
<journal_id_science></journal_id_science>
<language>en</language>
<pubdate>
	<type>jalali</type>
	<year>1394</year>
	<month>9</month>
	<day>1</day>
</pubdate>
<pubdate>
	<type>gregorian</type>
	<year>2015</year>
	<month>12</month>
	<day>1</day>
</pubdate>
<volume>11</volume>
<number>4</number>
<publish_type>online</publish_type>
<publish_edition>1</publish_edition>
<article_type>fulltext</article_type>
<articleset>
	<article>


	<language>en</language>
	<article_id_doi></article_id_doi>
	<title_fa></title_fa>
	<title>Condition Assessment of Metal Oxide Surge Arrester Based on Multi-Layer SVM Classifier </title>
	<subject_fa>High Voltage Engineering</subject_fa>
	<subject>High Voltage Engineering</subject>
	<content_type_fa>Research Paper </content_type_fa>
	<content_type>Research Paper </content_type>
	<abstract_fa></abstract_fa>
	<abstract>&lt;p&gt;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.&lt;/p&gt;

&lt;p style=&quot;text-align: left;&quot;&gt;&lt;img alt=&quot;AWT IMAGE&quot; src=&quot;./files/site1/images/10.png&quot; style=&quot;width: 250px; height: 250px;&quot; &gt;&lt;/p&gt;
</abstract>
	<keyword_fa></keyword_fa>
	<keyword>Metal Oxide Surge Arrester,Leakage Current,Condition Monitoring,Indicator,Multi-Layer SVM,</keyword>
	<start_page>354</start_page>
	<end_page>362</end_page>
	<web_url>http://ijeee.iust.ac.ir/browse.php?a_code=A-10-789-4&amp;slc_lang=en&amp;sid=1</web_url>


<author_list>
	<author>
	<first_name>M</first_name>
	<middle_name></middle_name>
	<last_name>Khodsuz</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>mirzaie@nit.ac.ir</email>
	<code>180031947532846003755</code>
	<orcid>180031947532846003755</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Department of Electrical and Computer</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>M</first_name>
	<middle_name></middle_name>
	<last_name>Mirzaie</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>m.khodsoz@stu.nit.ac.ir</email>
	<code>180031947532846003756</code>
	<orcid>180031947532846003756</orcid>
	<coreauthor>Yes
</coreauthor>
	<affiliation>Department of Electrical and Computer</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


</author_list>


	</article>
</articleset>
</journal>
