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Fault-Tolerant SRM Drive with a Diagnosis Method Based on the Entropy Feature Approach

2020-05Journal article Open access
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dc.contributor.authorPires, Vitor Fernão
dc.contributor.authorAmaral, Tito G.
dc.contributor.authorCordeiro, Armando
dc.contributor.authorFoito, Daniel José Medronho
dc.contributor.authorPires, A. J.
dc.contributor.authorMartins, João F.
dc.date.accessioned2023-02-02T12:32:45Z
dc.date.available2023-02-02T12:32:45Z
dc.date.issued2020-05
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, V. F., Amaral, T. G., Cordeiro, A., Foito, D., Pires, A. J., & Martins, J. F. (2020). Fault-Tolerant SRM Drive with a Diagnosis Method Based on the Entropy Feature Approach. Applied Sciences, 10(10), 3516. MDPI AG. http://dx.doi.org/10.3390/app10103516pt_PT
dc.identifier.doi10.3390/app10103516pt_PT
dc.identifier.issn2076-3417
dc.identifier.urihttp://hdl.handle.net/10400.26/43573
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationInstituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa
dc.relation.publisherversionhttps://www.mdpi.com/2076-3417/10/10/3516pt_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 Drive with a Diagnosis Method Based on the Entropy Feature Approachpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleInstituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50021%2F2020/PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameAmaral
person.familyNameMedronho Foito
person.familyNamePinheiro Marques Pires
person.givenNameTito Gerardo Batoreo
person.givenNameDaniel José
person.givenNameArmando José
person.identifier.ciencia-idC31E-631E-2AD8
person.identifier.ciencia-idB81F-6757-DFBB
person.identifier.ciencia-idDF15-7E08-AAB6
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication8bf18fe9-1e18-452f-ae29-e91d45609ddd
relation.isAuthorOfPublication8701cb80-898c-48c6-9fde-df3ff644f8f1
relation.isAuthorOfPublication1ce097fa-4155-4618-8b38-3c4341dffca1
relation.isAuthorOfPublication.latestForDiscovery8701cb80-898c-48c6-9fde-df3ff644f8f1
relation.isProjectOfPublicatione6bd4329-7a94-4edd-a0f9-5e6953a84188
relation.isProjectOfPublication.latestForDiscoverye6bd4329-7a94-4edd-a0f9-5e6953a84188

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