Cloud-Based Non-Intrusive Leakage Current Detection for Residential Appliances
Unsafe electrical appliances pose a significant threat to life and properties. Monitoring of electrical appliances has been recognized as an important approach to improve electrical utilization safety. The purpose of this work is to detect leakage current and attribute it to an individual residentia...
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Veröffentlicht in: | IEEE transactions on power delivery 2020-08, Vol.35 (4), p.1977-1986 |
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container_end_page | 1986 |
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container_issue | 4 |
container_start_page | 1977 |
container_title | IEEE transactions on power delivery |
container_volume | 35 |
creator | Chen, Weiyu Gong, Qihang Geng, Guangchao Jiang, Quanyuan |
description | Unsafe electrical appliances pose a significant threat to life and properties. Monitoring of electrical appliances has been recognized as an important approach to improve electrical utilization safety. The purpose of this work is to detect leakage current and attribute it to an individual residential appliance in a non-intrusive way, i.e., using measurement at the electrical entry point of a home. Therefore, appliances with fault or at risk can be discovered timely without dedicated sensor installation behind the entry point. The idea is to determine whether the change of residual current is caused by a specific appliance using aggregated data. Cloud-based non-intrusive load monitoring (NILM) with load profiling is implemented to deduce detailed appliance activities and household appliance composition. Appliance leakage current can be determined by analyzing the relationship between residual current change and appliance status. The proposed approach has been verified in the lab and then deployed in a real-world residential property with all measurements integrated in the cloud. The results confirm the effectiveness of the proposed approach to detect leakage current and establish an in-depth understanding of household electrical safety. |
doi_str_mv | 10.1109/TPWRD.2019.2958521 |
format | Article |
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Monitoring of electrical appliances has been recognized as an important approach to improve electrical utilization safety. The purpose of this work is to detect leakage current and attribute it to an individual residential appliance in a non-intrusive way, i.e., using measurement at the electrical entry point of a home. Therefore, appliances with fault or at risk can be discovered timely without dedicated sensor installation behind the entry point. The idea is to determine whether the change of residual current is caused by a specific appliance using aggregated data. Cloud-based non-intrusive load monitoring (NILM) with load profiling is implemented to deduce detailed appliance activities and household appliance composition. Appliance leakage current can be determined by analyzing the relationship between residual current change and appliance status. The proposed approach has been verified in the lab and then deployed in a real-world residential property with all measurements integrated in the cloud. The results confirm the effectiveness of the proposed approach to detect leakage current and establish an in-depth understanding of household electrical safety.</description><identifier>ISSN: 0885-8977</identifier><identifier>EISSN: 1937-4208</identifier><identifier>DOI: 10.1109/TPWRD.2019.2958521</identifier><identifier>CODEN: ITPDE5</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Appliances ; Cloud computing ; Detectors ; Electric appliances ; Electrical safety ; Event detection ; Home appliances ; Household appliances ; Leakage current ; Leakage currents ; Monitoring ; non-intrusive load monitoring ; Steady-state</subject><ispartof>IEEE transactions on power delivery, 2020-08, Vol.35 (4), p.1977-1986</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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Monitoring of electrical appliances has been recognized as an important approach to improve electrical utilization safety. The purpose of this work is to detect leakage current and attribute it to an individual residential appliance in a non-intrusive way, i.e., using measurement at the electrical entry point of a home. Therefore, appliances with fault or at risk can be discovered timely without dedicated sensor installation behind the entry point. The idea is to determine whether the change of residual current is caused by a specific appliance using aggregated data. Cloud-based non-intrusive load monitoring (NILM) with load profiling is implemented to deduce detailed appliance activities and household appliance composition. Appliance leakage current can be determined by analyzing the relationship between residual current change and appliance status. The proposed approach has been verified in the lab and then deployed in a real-world residential property with all measurements integrated in the cloud. The results confirm the effectiveness of the proposed approach to detect leakage current and establish an in-depth understanding of household electrical safety.</description><subject>Appliances</subject><subject>Cloud computing</subject><subject>Detectors</subject><subject>Electric appliances</subject><subject>Electrical safety</subject><subject>Event detection</subject><subject>Home appliances</subject><subject>Household appliances</subject><subject>Leakage current</subject><subject>Leakage currents</subject><subject>Monitoring</subject><subject>non-intrusive load monitoring</subject><subject>Steady-state</subject><issn>0885-8977</issn><issn>1937-4208</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE9PwzAMxSMEEmPwBeBSiXOHkyZtchzl36RpoGmIY5SmLuoobUlaJL49GZs4Wbbfs59-hFxSmFEK6mbz8ra-mzGgasaUkILRIzKhKslizkAekwlIKWKpsuyUnHm_BQAOCiZklTfdWMa3xmMZrbo2XrSDG339jdESzYd5xygfncN2iO5wQDvUXRtVnYvW6OsyjGvTRPO-b2rTWvTn5KQyjceLQ52S14f7Tf4UL58fF_l8GdsQbwihBBPGQmV4QYFTxrHITFZymyrgXBSVkCxNVAJlKizaCpOUhTYL8ooXZTIl1_u7veu-RvSD3naja8NLzTjLUsZA0aBie5V1nfcOK927-tO4H01B77jpP256x00fuAXT1d5UI-K_QSoWtjL5BapIaO0</recordid><startdate>20200801</startdate><enddate>20200801</enddate><creator>Chen, Weiyu</creator><creator>Gong, Qihang</creator><creator>Geng, Guangchao</creator><creator>Jiang, Quanyuan</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0003-1616-3560</orcidid><orcidid>https://orcid.org/0000-0002-3626-0766</orcidid><orcidid>https://orcid.org/0000-0002-0071-8456</orcidid><orcidid>https://orcid.org/0000-0002-8975-9413</orcidid></search><sort><creationdate>20200801</creationdate><title>Cloud-Based Non-Intrusive Leakage Current Detection for Residential Appliances</title><author>Chen, Weiyu ; Gong, Qihang ; Geng, Guangchao ; Jiang, Quanyuan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c295t-42525ac0fa4b104124eb7a7d4c690445bf58263930d65cecfe36239374b1f4bd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Appliances</topic><topic>Cloud computing</topic><topic>Detectors</topic><topic>Electric appliances</topic><topic>Electrical safety</topic><topic>Event detection</topic><topic>Home appliances</topic><topic>Household appliances</topic><topic>Leakage current</topic><topic>Leakage currents</topic><topic>Monitoring</topic><topic>non-intrusive load monitoring</topic><topic>Steady-state</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Weiyu</creatorcontrib><creatorcontrib>Gong, Qihang</creatorcontrib><creatorcontrib>Geng, Guangchao</creatorcontrib><creatorcontrib>Jiang, Quanyuan</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on power delivery</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Chen, Weiyu</au><au>Gong, Qihang</au><au>Geng, Guangchao</au><au>Jiang, Quanyuan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cloud-Based Non-Intrusive Leakage Current Detection for Residential Appliances</atitle><jtitle>IEEE transactions on power delivery</jtitle><stitle>TPWRD</stitle><date>2020-08-01</date><risdate>2020</risdate><volume>35</volume><issue>4</issue><spage>1977</spage><epage>1986</epage><pages>1977-1986</pages><issn>0885-8977</issn><eissn>1937-4208</eissn><coden>ITPDE5</coden><abstract>Unsafe electrical appliances pose a significant threat to life and properties. Monitoring of electrical appliances has been recognized as an important approach to improve electrical utilization safety. The purpose of this work is to detect leakage current and attribute it to an individual residential appliance in a non-intrusive way, i.e., using measurement at the electrical entry point of a home. Therefore, appliances with fault or at risk can be discovered timely without dedicated sensor installation behind the entry point. The idea is to determine whether the change of residual current is caused by a specific appliance using aggregated data. Cloud-based non-intrusive load monitoring (NILM) with load profiling is implemented to deduce detailed appliance activities and household appliance composition. Appliance leakage current can be determined by analyzing the relationship between residual current change and appliance status. 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ispartof | IEEE transactions on power delivery, 2020-08, Vol.35 (4), p.1977-1986 |
issn | 0885-8977 1937-4208 |
language | eng |
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source | IEEE Electronic Library (IEL) |
subjects | Appliances Cloud computing Detectors Electric appliances Electrical safety Event detection Home appliances Household appliances Leakage current Leakage currents Monitoring non-intrusive load monitoring Steady-state |
title | Cloud-Based Non-Intrusive Leakage Current Detection for Residential Appliances |
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