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IoT-Based Degradation Management for Self-Healing Power Converters
In high power applications, medium voltage (MV) power converters have proven to be the best solution for dealing with large amounts of energy, reducing power losses and decreasing costs. The importance of such equipment has placed its service continuity as the most relevant concern for researchers a...
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creator | Rocha, Anderson Vagner Melo, Danilo F. Carvalho Maia, Thales A. Ferreira, Victor N. Cardoso Filho, Braz J. |
description | In high power applications, medium voltage (MV) power converters have proven to be the best solution for dealing with large amounts of energy, reducing power losses and decreasing costs. The importance of such equipment has placed its service continuity as the most relevant concern for researchers and engineers. In this work an IoT scheme is proposed to remotely manage the remaining useful life of IGBT power modules based on their failure precursors. The proposed structure was designed to permit remote and automatic actuation in the power converter according to the degradation levels of its power devices. |
doi_str_mv | 10.1109/APEC.2019.8722005 |
format | conference_proceeding |
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The proposed structure was designed to permit remote and automatic actuation in the power converter according to the degradation levels of its power devices.</description><subject>Degradation</subject><subject>Failure analysis</subject><subject>Fault-Tolerance</subject><subject>IGBT</subject><subject>IoT</subject><subject>Maintenance engineering</subject><subject>Monitoring</subject><subject>PHM</subject><subject>Power converters</subject><subject>Power system reliability</subject><subject>Prognostic</subject><subject>Prognostics and health management</subject><subject>Reliability</subject><issn>2470-6647</issn><isbn>9781538683309</isbn><isbn>153868330X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2019</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj81Kw0AURkdBsNY-gLiZF5h4ZyaZn2Ubqy1ULJh9uUluQiRNZCYovr0Bu_oWBw7nY-xBQiIl-Kf1cZsnCqRPnFUKILtiK2-dzLQzTmvw12yhUgvCmNTesrsYPwGUttIs2GY_FmKDkWr-TG3AGqduHPgbDtjSmYaJN2PgH9Q3YkfYd0PLj-MPBZ6PwzeFiUK8ZzcN9pFWl12y4mVb5DtxeH_d5-uD6KTNJkHOUFUpIy2Uc3ZduzotUbnGGm9MM-cbAKnBuUqWhDMrHaLWmqSpfKmX7PFf2xHR6St0Zwy_p8tj_Qe6RUk_</recordid><startdate>201903</startdate><enddate>201903</enddate><creator>Rocha, Anderson Vagner</creator><creator>Melo, Danilo F.</creator><creator>Carvalho Maia, Thales A.</creator><creator>Ferreira, Victor N.</creator><creator>Cardoso Filho, Braz J.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201903</creationdate><title>IoT-Based Degradation Management for Self-Healing Power Converters</title><author>Rocha, Anderson Vagner ; Melo, Danilo F. ; Carvalho Maia, Thales A. ; Ferreira, Victor N. ; Cardoso Filho, Braz J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-e86ecc26170b110dd8d4ba28f76966f01960013088c1bea4bab8aa333e16c9b3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Degradation</topic><topic>Failure analysis</topic><topic>Fault-Tolerance</topic><topic>IGBT</topic><topic>IoT</topic><topic>Maintenance engineering</topic><topic>Monitoring</topic><topic>PHM</topic><topic>Power converters</topic><topic>Power system reliability</topic><topic>Prognostic</topic><topic>Prognostics and health management</topic><topic>Reliability</topic><toplevel>online_resources</toplevel><creatorcontrib>Rocha, Anderson Vagner</creatorcontrib><creatorcontrib>Melo, Danilo F.</creatorcontrib><creatorcontrib>Carvalho Maia, Thales A.</creatorcontrib><creatorcontrib>Ferreira, Victor N.</creatorcontrib><creatorcontrib>Cardoso Filho, Braz J.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Rocha, Anderson Vagner</au><au>Melo, Danilo F.</au><au>Carvalho Maia, Thales A.</au><au>Ferreira, Victor N.</au><au>Cardoso Filho, Braz J.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>IoT-Based Degradation Management for Self-Healing Power Converters</atitle><btitle>2019 IEEE Applied Power Electronics Conference and Exposition (APEC)</btitle><stitle>APEC</stitle><date>2019-03</date><risdate>2019</risdate><spage>2802</spage><epage>2809</epage><pages>2802-2809</pages><eissn>2470-6647</eissn><eisbn>9781538683309</eisbn><eisbn>153868330X</eisbn><abstract>In high power applications, medium voltage (MV) power converters have proven to be the best solution for dealing with large amounts of energy, reducing power losses and decreasing costs. The importance of such equipment has placed its service continuity as the most relevant concern for researchers and engineers. In this work an IoT scheme is proposed to remotely manage the remaining useful life of IGBT power modules based on their failure precursors. The proposed structure was designed to permit remote and automatic actuation in the power converter according to the degradation levels of its power devices.</abstract><pub>IEEE</pub><doi>10.1109/APEC.2019.8722005</doi><tpages>8</tpages></addata></record> |
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identifier | EISSN: 2470-6647 |
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issn | 2470-6647 |
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source | IEEE Xplore All Conference Series |
subjects | Degradation Failure analysis Fault-Tolerance IGBT IoT Maintenance engineering Monitoring PHM Power converters Power system reliability Prognostic Prognostics and health management Reliability |
title | IoT-Based Degradation Management for Self-Healing Power Converters |
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