Fault determination and analysis of complex switching structure at multilevel inverter

ArticleAçık Erişim

Özet

In energy conversion studies, some situations have been aimed at up to now. According to this, while the direct voltage is converted from some renewable energy sources to the alternating voltage, the shape of the voltage must be close to the sinus. Therefore, the works are being done on inverters with multi-levels. As the level of the inverters increases, the number of switches and control signals on them increases and it becomes harder to find the possible errors. Finding faults of a device with a large number of transistors with control signals is important, very difficult, and time-consuming task. This paper addresses the issue of determining fault conditions for a multi-level inverter with a very complex switching scheme. The results are analyzed and evaluated after the values obtained in the simulation are validated by the experimental study. For different switch fault conditions at the applications, the harmonic distortion of the alternating voltage is measured and made into tables. After that, different fault conditions of the 21-level inverter structure are explained when fault curves are created from the distortion value of the fault signals. © 2019, Strojarski Facultet. All rights reserved.

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RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/ebyu/14351Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.17559/tv-20180417194701Yayıncı resmi DOI adresi
Tam Kayıt
AlanDeğerDil
dc.contributor.authorCan, Erol
dc.date.accessioned2026-10-18T20:29:08.978006901Z
dc.date.available2026-10-18T20:29:08.978006901Z
dc.date.issued2019
dc.description.abstractIn energy conversion studies, some situations have been aimed at up to now. According to this, while the direct voltage is converted from some renewable energy sources to the alternating voltage, the shape of the voltage must be close to the sinus. Therefore, the works are being done on inverters with multi-levels. As the level of the inverters increases, the number of switches and control signals on them increases and it becomes harder to find the possible errors. Finding faults of a device with a large number of transistors with control signals is important, very difficult, and time-consuming task. This paper addresses the issue of determining fault conditions for a multi-level inverter with a very complex switching scheme. The results are analyzed and evaluated after the values obtained in the simulation are validated by the experimental study. For different switch fault conditions at the applications, the harmonic distortion of the alternating voltage is measured and made into tables. After that, different fault conditions of the 21-level inverter structure are explained when fault curves are created from the distortion value of the fault signals. © 2019, Strojarski Facultet. All rights reserved.
dc.identifier.doi10.17559/tv-20180417194701
dc.identifier.eissn1848-6339
dc.identifier.endpage404
dc.identifier.issn1330-3651
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85089603454
dc.identifier.startpage398
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/14351
dc.identifier.volume26
dc.identifier.wosWOS:000465518800018
dc.language.isoen
dc.publisherStrojarski Facultet
dc.relation.ispartofTehnicki Vjesnik
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject21-level inverter
dc.subjectComplex switching
dc.subjectFault detection index
dc.subjectElectric inverters
dc.subjectEnergy conversion
dc.subjectRenewable energy resources
dc.subject21-level inverte
dc.subjectAlternating voltages
dc.subjectControl signal
dc.subjectFault conditions
dc.subjectFaults detection
dc.subjectMulti Level Inverter (MLI)
dc.subjectMultilevels
dc.subjectSwitching structures
dc.subjectFault detection
dc.titleFault determination and analysis of complex switching structure at multilevel inverter
dc.typeArticle
dspace.entity.typePublication
rdl.citation.scopus7
rdl.citation.wos4
rdl.oa.statusgold
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)