A wavelet-based method to discriminate internal faults from inrush currents using correlation coefficient
In this paper a new method based on discrete wavelet transform and correlation coefficient is presented for digital differential protection. The algorithm includes offline and online operations. In offline operation, discrete wavelet transform is used to decompose typical three-phase differential cu...
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| Veröffentlicht in: | International journal of electrical power & energy systems 2010-09, Vol.32 (7), p.788-793 |
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| container_title | International journal of electrical power & energy systems |
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| creator | Vahidi, B. Ghaffarzadeh, N. Hosseinian, S.H. |
| description | In this paper a new method based on discrete wavelet transform and correlation coefficient is presented for digital differential protection. The algorithm includes offline and online operations. In offline operation, discrete wavelet transform is used to decompose typical three-phase differential currents for inrush current. Then an index is defined and computed. The index is based on the sum of the energy of detail coefficients at level 5 of three-phase differential currents at each half cycle. The online operation consists of capturing the three-phase differential currents using 10
kHz sampling rate, decomposing it by db1. Finally, the inrush current and internal fault is detected based on correlation coefficients of the computed index of pre-stored typical inrush current and a recorded indistinct signal. The effectiveness of the approach is tested using numerous inrush and internal fault currents. Simulations are used to confirm the aptness and the capability of the proposed method to discriminate inrush current from internal fault. |
| doi_str_mv | 10.1016/j.ijepes.2010.01.015 |
| format | Article |
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kHz sampling rate, decomposing it by db1. Finally, the inrush current and internal fault is detected based on correlation coefficients of the computed index of pre-stored typical inrush current and a recorded indistinct signal. The effectiveness of the approach is tested using numerous inrush and internal fault currents. Simulations are used to confirm the aptness and the capability of the proposed method to discriminate inrush current from internal fault.</description><identifier>ISSN: 0142-0615</identifier><identifier>EISSN: 1879-3517</identifier><identifier>DOI: 10.1016/j.ijepes.2010.01.015</identifier><identifier>CODEN: IEPSDC</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Applied sciences ; Computation ; Connection and protection apparatus ; Correlation coefficient ; Correlation coefficients ; Decomposition ; Discrete Wavelet Transform ; Electrical engineering. Electrical power engineering ; Exact sciences and technology ; Faults ; Inrush current ; Internal fault ; On-line systems ; Online ; Transformer ; Transformers and inductors</subject><ispartof>International journal of electrical power & energy systems, 2010-09, Vol.32 (7), p.788-793</ispartof><rights>2010 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c369t-331cc833c00f03406bae25848427d7cd5b6ae1b7b793c4f989208c05ec8fa8133</citedby><cites>FETCH-LOGICAL-c369t-331cc833c00f03406bae25848427d7cd5b6ae1b7b793c4f989208c05ec8fa8133</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ijepes.2010.01.015$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3548,27923,27924,45994</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22818647$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Vahidi, B.</creatorcontrib><creatorcontrib>Ghaffarzadeh, N.</creatorcontrib><creatorcontrib>Hosseinian, S.H.</creatorcontrib><title>A wavelet-based method to discriminate internal faults from inrush currents using correlation coefficient</title><title>International journal of electrical power & energy systems</title><description>In this paper a new method based on discrete wavelet transform and correlation coefficient is presented for digital differential protection. The algorithm includes offline and online operations. In offline operation, discrete wavelet transform is used to decompose typical three-phase differential currents for inrush current. Then an index is defined and computed. The index is based on the sum of the energy of detail coefficients at level 5 of three-phase differential currents at each half cycle. The online operation consists of capturing the three-phase differential currents using 10
kHz sampling rate, decomposing it by db1. Finally, the inrush current and internal fault is detected based on correlation coefficients of the computed index of pre-stored typical inrush current and a recorded indistinct signal. The effectiveness of the approach is tested using numerous inrush and internal fault currents. Simulations are used to confirm the aptness and the capability of the proposed method to discriminate inrush current from internal fault.</description><subject>Applied sciences</subject><subject>Computation</subject><subject>Connection and protection apparatus</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Decomposition</subject><subject>Discrete Wavelet Transform</subject><subject>Electrical engineering. Electrical power engineering</subject><subject>Exact sciences and technology</subject><subject>Faults</subject><subject>Inrush current</subject><subject>Internal fault</subject><subject>On-line systems</subject><subject>Online</subject><subject>Transformer</subject><subject>Transformers and inductors</subject><issn>0142-0615</issn><issn>1879-3517</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNp9UMFqHDEMNSWFbtL-QQ--FHKZjTz2jD2XQAhJWwjk0p6NRyM3XmbHW9uTkL-vlw05FgSSnp4k3mPsq4CtANFf7bZhRwfK2xYqBKJG94FthNFDIzuhz9gGhGob6EX3iZ3nvAMAPah2w8INf3HPNFNpRpdp4nsqT3HiJfIpZExhHxZXiIelUFrczL1b55K5T3FfwbTmJ45rSrRUcM1h-cMx1nZ2JcSl1uR9wFDHn9lH7-ZMX97yBft9f_fr9kfz8Pj95-3NQ4OyH0ojpUA0UiKAB6mgHx21nVFGtXrSOHVj70iMetSDROUHM7RgEDpC450RUl6wy9PdQ4p_V8rF7qsQmme3UFyzFb0WcjCqGypVnaiYYs6JvD1UwS69WgH26Kzd2ZOz9uisBVGjq2vf3j64jG72yS0Y8vtu2xpheqUr7_rEoyr3OVCy-egE0hQSYbFTDP9_9A_VkZJX</recordid><startdate>20100901</startdate><enddate>20100901</enddate><creator>Vahidi, B.</creator><creator>Ghaffarzadeh, N.</creator><creator>Hosseinian, S.H.</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20100901</creationdate><title>A wavelet-based method to discriminate internal faults from inrush currents using correlation coefficient</title><author>Vahidi, B. ; Ghaffarzadeh, N. ; Hosseinian, S.H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c369t-331cc833c00f03406bae25848427d7cd5b6ae1b7b793c4f989208c05ec8fa8133</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Applied sciences</topic><topic>Computation</topic><topic>Connection and protection apparatus</topic><topic>Correlation coefficient</topic><topic>Correlation coefficients</topic><topic>Decomposition</topic><topic>Discrete Wavelet Transform</topic><topic>Electrical engineering. Electrical power engineering</topic><topic>Exact sciences and technology</topic><topic>Faults</topic><topic>Inrush current</topic><topic>Internal fault</topic><topic>On-line systems</topic><topic>Online</topic><topic>Transformer</topic><topic>Transformers and inductors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vahidi, B.</creatorcontrib><creatorcontrib>Ghaffarzadeh, N.</creatorcontrib><creatorcontrib>Hosseinian, S.H.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>International journal of electrical power & energy systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vahidi, B.</au><au>Ghaffarzadeh, N.</au><au>Hosseinian, S.H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A wavelet-based method to discriminate internal faults from inrush currents using correlation coefficient</atitle><jtitle>International journal of electrical power & energy systems</jtitle><date>2010-09-01</date><risdate>2010</risdate><volume>32</volume><issue>7</issue><spage>788</spage><epage>793</epage><pages>788-793</pages><issn>0142-0615</issn><eissn>1879-3517</eissn><coden>IEPSDC</coden><abstract>In this paper a new method based on discrete wavelet transform and correlation coefficient is presented for digital differential protection. The algorithm includes offline and online operations. In offline operation, discrete wavelet transform is used to decompose typical three-phase differential currents for inrush current. Then an index is defined and computed. The index is based on the sum of the energy of detail coefficients at level 5 of three-phase differential currents at each half cycle. The online operation consists of capturing the three-phase differential currents using 10
kHz sampling rate, decomposing it by db1. Finally, the inrush current and internal fault is detected based on correlation coefficients of the computed index of pre-stored typical inrush current and a recorded indistinct signal. The effectiveness of the approach is tested using numerous inrush and internal fault currents. Simulations are used to confirm the aptness and the capability of the proposed method to discriminate inrush current from internal fault.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.ijepes.2010.01.015</doi><tpages>6</tpages></addata></record> |
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| ispartof | International journal of electrical power & energy systems, 2010-09, Vol.32 (7), p.788-793 |
| issn | 0142-0615 1879-3517 |
| language | eng |
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| source | ScienceDirect Journals (5 years ago - present) |
| subjects | Applied sciences Computation Connection and protection apparatus Correlation coefficient Correlation coefficients Decomposition Discrete Wavelet Transform Electrical engineering. Electrical power engineering Exact sciences and technology Faults Inrush current Internal fault On-line systems Online Transformer Transformers and inductors |
| title | A wavelet-based method to discriminate internal faults from inrush currents using correlation coefficient |
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