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Fault-tolerant SRM dive with a diagnosis method based on the entropy feature approach

2020-05-19Journal article Open access
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dc.contributor.authorFernao Pires, Vitor
dc.contributor.authorAmaral, Tito
dc.contributor.authorCordeiro, Armando
dc.contributor.authorFoito, Daniel
dc.contributor.authorPires, Armando J.
dc.contributor.authorMartins, Joao
dc.date.accessioned2021-01-26T13:49:10Z
dc.date.available2021-01-26T13:49:10Z
dc.date.issued2020-05-19
dc.description.abstractThe power electronic converter design is essential for the operation of the switched reluctance motor (SRM). Thus, a fault-tolerant power converter is fundamental to ensure high reliability and extend the drive operation. To achieve fault tolerance, fault detection and diagnosis methods are critical in order to identify, as soon as possible, the failure mode of the drive. To provide such capability, it is proposed in this paper a new fault-tolerant power converter scheme combined with a fault detection method regarding the most common power semiconductors failures in SRM drives. The fast and reliable proposed diagnosis method is based on the entropy theory. Based on this theory, normalized indexes (diagnostic variables) are created, which are independent from the load and speed of the motor. Through this method, it is possible to identify the faulty leg, as well as the type of power semiconductor fault. To test and evaluate the proposed solution several laboratory experiments were carried out using a 2 kW four-phase 8 / 6 SRM.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationPIRES, Vítor Fernão; [et al] – Fault-tolerant SRM dive with a diagnosis method based on the entropy feature approach. Applied Sciences-Basel. eISSN: 2076-3417. Vol. 10, N.º 10, pp. 1-20pt_PT
dc.identifier.doi10.3390/app10103516pt_PT
dc.identifier.eissn2076-3417
dc.identifier.urihttp://hdl.handle.net/10400.21/12700
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationUID/EEA/00066/2020 - FCTpt_PT
dc.relationUIDB/50021/2020 - FCTpt_PT
dc.subjectSwitched reluctance motor (SRM)pt_PT
dc.subjectMotor drivespt_PT
dc.subjectFault-tolerantpt_PT
dc.subjectFault detectionpt_PT
dc.subjectFault diagnosispt_PT
dc.subjectEntropy-based featurept_PT
dc.titleFault-tolerant SRM dive with a diagnosis method based on the entropy feature approachpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage20pt_PT
oaire.citation.issue10pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleApplied Sciences-Baselpt_PT
oaire.citation.volume10pt_PT
person.familyNameFernao Pires
person.familyNameAmaral
person.familyNameCordeiro
person.familyNameFoito
person.familyNameMartins
person.givenNameVitor
person.givenNameTito
person.givenNameArmando
person.givenNameDaniel
person.givenNameJoão
person.identifier1017494
person.identifier2692732
person.identifier.ciencia-idDC1C-D708-69C5
person.identifier.ciencia-idC31E-631E-2AD8
person.identifier.ciencia-idEE1F-34B0-4A02
person.identifier.ciencia-idCD13-5257-F4CA
person.identifier.orcid0000-0002-3764-0955
person.identifier.orcid0000-0001-6094-3068
person.identifier.orcid0000-0001-6658-5783
person.identifier.orcid0000-0003-4831-9064
person.identifier.orcid0000-0002-2248-2595
person.identifier.ridL-6836-2015
person.identifier.ridG-8903-2011
person.identifier.scopus-author-id7003305269
person.identifier.scopus-author-id6603883386
person.identifier.scopus-author-id16174830500
person.identifier.scopus-author-id7201798943
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication2891ab5a-f371-44ac-8d28-f49a8c3efabd
relation.isAuthorOfPublication46208c76-e7ff-4042-aeca-9164a7001a4d
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relation.isAuthorOfPublication.latestForDiscoverycb166065-fd85-42f7-88b5-a835226f38a1

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