Publication
Fault-Tolerant SRM Drive with a Diagnosis Method Based on the Entropy Feature Approach
| Summary: | The 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. |
|---|---|
| Main Authors: | Pires, Vitor Fernão |
| Other Authors: | Amaral, Tito G.; Cordeiro, Armando; Foito, Daniel José Medronho; Pires, A. J.; Martins, João F. |
| Subject: | Switched reluctance motor (SRM) Motor drives Fault-tolerant Fault detection Fault diagnosis Entropy-based feature |
| Year: | 2020 |
| Country: | Portugal |
| Document type: | article |
| Access type: | open access |
| Associated institution: | Universidade Politécnica de Setúbal |
| Language: | English |
| Origin: | Universidade Politécnica de Setúbal |
| _version_ | 1876668138263674880 |
|---|---|
| author | Pires, Vitor Fernão |
| author2 | Amaral, Tito G. Cordeiro, Armando Foito, Daniel José Medronho Pires, A. J. Martins, João F. |
| author2_role | author author author author author |
| author_facet | Pires, Vitor Fernão Amaral, Tito G. Cordeiro, Armando Foito, Daniel José Medronho Pires, A. J. Martins, João F. |
| author_role | author |
| contributor_name_str_mv | Repositório Comum |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Pires, Vitor Fernão\"},{\"Person.name\":\"Amaral, Tito G.\",\"Person.identifier.cienciaID\":\"C31E-631E-2AD8\"},{\"Person.name\":\"Cordeiro, Armando\"},{\"Person.name\":\"Foito, Daniel José Medronho\",\"Person.identifier.cienciaID\":\"B81F-6757-DFBB\"},{\"Person.name\":\"Pires, A. J.\",\"Person.identifier.cienciaID\":\"DF15-7E08-AAB6\"},{\"Person.name\":\"Martins, João F.\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Repositório Comum |
| datacite.creators.creator.creatorName.fl_str_mv | Pires, Vitor Fernão Amaral, Tito G. Cordeiro, Armando Foito, Daniel José Medronho Pires, A. J. Martins, João F. |
| datacite.date.Accepted.fl_str_mv | 2020-05-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2023-02-02T12:32:45Z |
| datacite.date.embargoed.fl_str_mv | 2023-02-02T12:32:45Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Switched reluctance motor (SRM) Motor drives Fault-tolerant Fault detection Fault diagnosis Entropy-based feature |
| datacite.titles.title.fl_str_mv | Fault-Tolerant SRM Drive with a Diagnosis Method Based on the Entropy Feature Approach |
| dc.contributor.none.fl_str_mv | Repositório Comum |
| dc.creator.none.fl_str_mv | Pires, Vitor Fernão Amaral, Tito G. Cordeiro, Armando Foito, Daniel José Medronho Pires, A. J. Martins, João F. |
| dc.date.Accepted.fl_str_mv | 2020-05-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2023-02-02T12:32:45Z |
| dc.date.embargoed.fl_str_mv | 2023-02-02T12:32:45Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10400.26/43573 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Switched reluctance motor (SRM) Motor drives Fault-tolerant Fault detection Fault diagnosis Entropy-based feature |
| dc.title.fl_str_mv | Fault-Tolerant SRM Drive with a Diagnosis Method Based on the Entropy Feature Approach |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| description | The 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. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | article |
| fulltext.url.fl_str_mv | https://comum.rcaap.pt/bitstreams/f25b416d-ae25-4f04-8fa0-cf920ea06c9f/download |
| funder_facet_str_mv | FCT{{{_:::_}}}Fundação para a Ciência e a Tecnologia |
| funding.funder.alternateName_str_mv | FCT |
| funding.funder.identifier_str_mv | http://doi.org/10.13039/501100001871 |
| funding.funder.name_str_mv | Fundação para a Ciência e a Tecnologia |
| funding.name_str_mv | 6817 - DCRRNI ID |
| id | ips_e4b8d4e42ea02d947ee9b95f3b9e7613 |
| identifier.url.fl_str_mv | http://hdl.handle.net/10400.26/43573 |
| inst_facet_str | urn:organizationAcronym:unips{{{_:::_}}}Universidade Politécnica de Setúbal |
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| institution | Universidade Politécnica de Setúbal |
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| language | eng |
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| oai_identifier_str | oai:comum.rcaap.pt:10400.26/43573 |
| organization_str_mv | urn:organizationAcronym:unips |
| person_str_mv | Pires, Vitor Fernão Amaral, Tito G. Amaral, Tito G. https://www.ciencia-id.pt/C31E-631E-2AD8 C31E-631E-2AD8 Cordeiro, Armando Foito, Daniel José Medronho Foito, Daniel José Medronho https://www.ciencia-id.pt/B81F-6757-DFBB B81F-6757-DFBB Pires, A. J. Pires, A. J. https://www.ciencia-id.pt/DF15-7E08-AAB6 DF15-7E08-AAB6 Martins, João F. |
| publishDate | 2020 |
| repo_facet_str | urn:repositoryAcronym:ips{{{_:::_}}}Universidade Politécnica de Setúbal |
| reponame_str | Universidade Politécnica de Setúbal |
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| service_str_mv | urn:repositoryAcronym:ips |
| spelling | engpt_PTThe 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.application/pdfpt_PTFault-Tolerant SRM Drive with a Diagnosis Method Based on the Entropy Feature ApproachPires, Vitor FernãoPersonalAmaral, Tito G.DSpacehttp://dspace.org/items/8bf18fe9-1e18-452f-ae29-e91d45609dddDSpacehttp://dspace.org/items/8bf18fe9-1e18-452f-ae29-e91d45609dddAmaralTito Gerardo BatoreoCiência IDhttps://www.ciencia-id.ptC31E-631E-2AD8Cordeiro, ArmandoPersonalFoito, Daniel José MedronhoDSpacehttp://dspace.org/items/8701cb80-898c-48c6-9fde-df3ff644f8f1DSpacehttp://dspace.org/items/8701cb80-898c-48c6-9fde-df3ff644f8f1Medronho FoitoDaniel JoséCiência IDhttps://www.ciencia-id.ptB81F-6757-DFBBPersonalPires, A. J.DSpacehttp://dspace.org/items/1ce097fa-4155-4618-8b38-3c4341dffca1DSpacehttp://dspace.org/items/1ce097fa-4155-4618-8b38-3c4341dffca1Pinheiro Marques PiresArmando JoséCiência IDhttps://www.ciencia-id.ptDF15-7E08-AAB6Martins, João F.HostingInstitutionOrganizationalRepositório Comume-mailmailto:comum@rcaap.ptcomum@rcaap.ptISSNIsPartOf2076-3417DOIIsPartOf10.3390/app101035162023-02-02T12:32:45Z2020-052020-05-01T00:00:00ZHandlehttp://hdl.handle.net/10400.26/43573http://purl.org/coar/access_right/c_abf2open accessSwitched reluctance motor (SRM)Motor drivesFault-tolerantFault detectionFault diagnosisEntropy-based feature6498063 bytesFundação para a Ciência e a TecnologiaInstituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa6817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871literaturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://comum.rcaap.pt/bitstreams/f25b416d-ae25-4f04-8fa0-cf920ea06c9f/download |
| spellingShingle | Fault-Tolerant SRM Drive with a Diagnosis Method Based on the Entropy Feature Approach Pires, Vitor Fernão Switched reluctance motor (SRM) Motor drives Fault-tolerant Fault detection Fault diagnosis Entropy-based feature |
| status | SINGLETON |
| subject.fl_str_mv | Switched reluctance motor (SRM) Motor drives Fault-tolerant Fault detection Fault diagnosis Entropy-based feature |
| title | Fault-Tolerant SRM Drive with a Diagnosis Method Based on the Entropy Feature Approach |
| title_full | Fault-Tolerant SRM Drive with a Diagnosis Method Based on the Entropy Feature Approach |
| title_fullStr | Fault-Tolerant SRM Drive with a Diagnosis Method Based on the Entropy Feature Approach |
| title_full_unstemmed | Fault-Tolerant SRM Drive with a Diagnosis Method Based on the Entropy Feature Approach |
| title_short | Fault-Tolerant SRM Drive with a Diagnosis Method Based on the Entropy Feature Approach |
| title_sort | Fault-Tolerant SRM Drive with a Diagnosis Method Based on the Entropy Feature Approach |
| topic | Switched reluctance motor (SRM) Motor drives Fault-tolerant Fault detection Fault diagnosis Entropy-based feature |
| topic_facet | Switched reluctance motor (SRM) Motor drives Fault-tolerant Fault detection Fault diagnosis Entropy-based feature |
| url | http://hdl.handle.net/10400.26/43573 |
| visible | 1 |
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