Publication
Fault-tolerant SRM dive 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: | Fernao Pires, Vitor |
| Other Authors: | Amaral, Tito; Cordeiro, Armando; Foito, Daniel; Pires, Armando J.; Martins, Joao |
| 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 Lisboa |
| Language: | English |
| Origin: | Repositório Científico da Universidade Politécnica de Lisboa |
| _version_ | 1880398153845309440 |
|---|---|
| author | Fernao Pires, Vitor |
| author2 | Amaral, Tito Cordeiro, Armando Foito, Daniel Pires, Armando J. Martins, Joao |
| author2_role | author author author author author |
| author_facet | Fernao Pires, Vitor Amaral, Tito Cordeiro, Armando Foito, Daniel Pires, Armando J. Martins, Joao |
| author_role | author |
| contributor_name_str_mv | RCIPL |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Fernao Pires, Vitor\",\"Person.identifier.cienciaID\":\"DC1C-D708-69C5\",\"Person.identifier.orcid\":\"0000-0002-3764-0955\",\"Person.identifier.researcherID\":\"L-6836-2015\",\"Person.identifier.scopusAuthorID\":\"7003305269\",\"Person.identifier.scopusAuthorID\":\"55861968800\",\"Person.identifier.scopusAuthorID\":\"56199284000\",\"Person.identifier.scopusAuthorID\":\"56469082900\",\"Person.identifier.scopusAuthorID\":\"57190049904\",\"Person.identifier.scopusAuthorID\":\"57211295789\"},{\"Person.name\":\"Amaral, Tito\",\"Person.identifier.cienciaID\":\"C31E-631E-2AD8\",\"Person.identifier.orcid\":\"0000-0001-6094-3068\",\"Person.identifier.scopusAuthorID\":\"6603883386\"},{\"Person.name\":\"Cordeiro, Armando\",\"Person.identifier.cienciaID\":\"EE1F-34B0-4A02\",\"Person.identifier.orcid\":\"0000-0001-6658-5783\"},{\"Person.name\":\"Foito, Daniel\",\"Person.identifier.orcid\":\"0000-0003-4831-9064\",\"Person.identifier.scopusAuthorID\":\"16174830500\"},{\"Person.name\":\"Pires, Armando J.\"},{\"Person.name\":\"Martins, Joao\",\"Person.identifier.cienciaID\":\"CD13-5257-F4CA\",\"Person.identifier.orcid\":\"0000-0002-2248-2595\",\"Person.identifier.researcherID\":\"G-8903-2011\",\"Person.identifier.scopusAuthorID\":\"7201798943\",\"Person.identifier.scopusAuthorID\":\"56602269200\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | RCIPL |
| datacite.creators.creator.creatorName.fl_str_mv | Fernao Pires, Vitor Amaral, Tito Cordeiro, Armando Foito, Daniel Pires, Armando J. Martins, Joao |
| datacite.date.Accepted.fl_str_mv | 2020-05-19T00:00:00Z |
| datacite.date.available.fl_str_mv | 2021-01-26T13:49:10Z |
| datacite.date.embargoed.fl_str_mv | 2021-01-26T13:49:10Z |
| 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 dive with a diagnosis method based on the entropy feature approach |
| dc.contributor.none.fl_str_mv | RCIPL |
| dc.creator.none.fl_str_mv | Fernao Pires, Vitor Amaral, Tito Cordeiro, Armando Foito, Daniel Pires, Armando J. Martins, Joao |
| dc.date.Accepted.fl_str_mv | 2020-05-19T00:00:00Z |
| dc.date.available.fl_str_mv | 2021-01-26T13:49:10Z |
| dc.date.embargoed.fl_str_mv | 2021-01-26T13:49:10Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10400.21/12700 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | MDPI |
| 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 dive 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://repositorio.ipl.pt/bitstreams/a49dd029-a319-42ac-b6d2-a963a16f4064/download |
| id | ripl_18e49f4e5ae40b4629dbdf04b6a2252e |
| identifier.url.fl_str_mv | http://hdl.handle.net/10400.21/12700 |
| inst_facet_str | urn:organizationAcronym:ipl{{{_:::_}}}Universidade Politécnica de Lisboa |
| instacron_str | ipl |
| institution | Universidade Politécnica de Lisboa |
| instname_str | Universidade Politécnica de Lisboa |
| language | eng |
| network_acronym_str | ripl |
| network_name_str | Repositório Científico da Universidade Politécnica de Lisboa |
| oai_identifier_str | oai:repositorio.ipl.pt:10400.21/12700 |
| organization_str_mv | urn:organizationAcronym:ipl |
| person_str_mv | Fernao Pires, Vitor Fernao Pires, Vitor https://www.ciencia-id.pt/DC1C-D708-69C5 DC1C-D708-69C5 http://orcid.org/0000-0002-3764-0955 0000-0002-3764-0955 Amaral, Tito Amaral, Tito https://www.ciencia-id.pt/C31E-631E-2AD8 C31E-631E-2AD8 http://orcid.org/0000-0001-6094-3068 0000-0001-6094-3068 Cordeiro, Armando Cordeiro, Armando https://www.ciencia-id.pt/EE1F-34B0-4A02 EE1F-34B0-4A02 http://orcid.org/0000-0001-6658-5783 0000-0001-6658-5783 Foito, Daniel Foito, Daniel http://orcid.org/0000-0003-4831-9064 0000-0003-4831-9064 Pires, Armando J. Martins, Joao Martins, Joao https://www.ciencia-id.pt/CD13-5257-F4CA CD13-5257-F4CA http://orcid.org/0000-0002-2248-2595 0000-0002-2248-2595 |
| publishDate | 2020 |
| publisher.none.fl_str_mv | MDPI |
| repo_facet_str | urn:repositoryAcronym:ripl{{{_:::_}}}Repositório Científico da Universidade Politécnica de Lisboa |
| reponame_str | Repositório Científico da Universidade Politécnica de Lisboa |
| repository_id_str | urn:repositoryAcronym:ripl |
| service_str_mv | urn:repositoryAcronym:ripl |
| spelling | engMDPIpt_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 dive with a diagnosis method based on the entropy feature approachPersonalFernao Pires, VitorDSpacehttp://dspace.org/items/2891ab5a-f371-44ac-8d28-f49a8c3efabdDSpacehttp://dspace.org/items/2891ab5a-f371-44ac-8d28-f49a8c3efabdFernao PiresVitorCiência IDhttps://www.ciencia-id.ptDC1C-D708-69C5ORCIDhttp://orcid.org0000-0002-3764-0955Researcher IDhttps://www.researcherid.comL-6836-2015Scopus Author IDhttps://www.scopus.com7003305269Scopus Author IDhttps://www.scopus.com55861968800Scopus Author IDhttps://www.scopus.com56199284000Scopus Author IDhttps://www.scopus.com56469082900Scopus Author IDhttps://www.scopus.com57190049904Scopus Author IDhttps://www.scopus.com57211295789PersonalAmaral, TitoDSpacehttp://dspace.org/items/46208c76-e7ff-4042-aeca-9164a7001a4dDSpacehttp://dspace.org/items/46208c76-e7ff-4042-aeca-9164a7001a4dAmaralTitoCiência IDhttps://www.ciencia-id.ptC31E-631E-2AD8ORCIDhttp://orcid.org0000-0001-6094-3068Scopus Author IDhttps://www.scopus.com6603883386PersonalCordeiro, ArmandoDSpacehttp://dspace.org/items/cb166065-fd85-42f7-88b5-a835226f38a1DSpacehttp://dspace.org/items/cb166065-fd85-42f7-88b5-a835226f38a1CordeiroArmandoCiência IDhttps://www.ciencia-id.ptEE1F-34B0-4A02ORCIDhttp://orcid.org0000-0001-6658-5783PersonalFoito, DanielDSpacehttp://dspace.org/items/59408426-0129-4fe0-aaa4-954a8d57c0a9DSpacehttp://dspace.org/items/59408426-0129-4fe0-aaa4-954a8d57c0a9FoitoDanielORCIDhttp://orcid.org0000-0003-4831-9064Scopus Author IDhttps://www.scopus.com16174830500Pires, Armando J.PersonalMartins, JoaoDSpacehttp://dspace.org/items/952e4f81-8718-4d99-88f5-6479edf127b9DSpacehttp://dspace.org/items/952e4f81-8718-4d99-88f5-6479edf127b9MartinsJoãoCiência IDhttps://www.ciencia-id.ptCD13-5257-F4CAORCIDhttp://orcid.org0000-0002-2248-2595Researcher IDhttps://www.researcherid.comG-8903-2011Scopus Author IDhttps://www.scopus.com7201798943Scopus Author IDhttps://www.scopus.com56602269200HostingInstitutionOrganizationalRCIPLe-mailmailto:rcaap@sp.ipl.ptrcaap@sp.ipl.ptDOIIsPartOf10.3390/app101035162021-01-26T13:49:10Z2020-05-192020-05-19T00:00:00ZHandlehttp://hdl.handle.net/10400.21/12700http://purl.org/coar/access_right/c_abf2open accessSwitched reluctance motor (SRM)Motor drivesFault-tolerantFault detectionFault diagnosisEntropy-based feature6498063 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://repositorio.ipl.pt/bitstreams/a49dd029-a319-42ac-b6d2-a963a16f4064/downloadApplied Sciences-Basel1010120 |
| spellingShingle | Fault-tolerant SRM dive with a diagnosis method based on the entropy feature approach Fernao Pires, Vitor 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 dive with a diagnosis method based on the entropy feature approach |
| title_full | Fault-tolerant SRM dive with a diagnosis method based on the entropy feature approach |
| title_fullStr | Fault-tolerant SRM dive with a diagnosis method based on the entropy feature approach |
| title_full_unstemmed | Fault-tolerant SRM dive with a diagnosis method based on the entropy feature approach |
| title_short | Fault-tolerant SRM dive with a diagnosis method based on the entropy feature approach |
| title_sort | Fault-tolerant SRM dive 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/10400.21/12700 |
| visible | 1 |
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