Publicação
Diagnosis of broken bar fault in three-phase induction motors using fibre bragg grating strain sensors assisted by an algorithm
| Resumo: | This study developed an algorithm running on the cloud that makes data process and diagnoses broken rotor bar faults in three-phase induction motors (TIMs), by analyzing stator dynamic deformation using fibre Bragg gratings (FBGs) as sensors. This method can diagnose mechanical faults (misalignment, imbalance) and electrical faults (fractures or cracks in rotor rings or bars). FBG-based sensors were used due to their high multiplexing capability, electromagnetic radiation immunity, and long-distance operation. Tests were conducted on a small-scale induction motor (3 HP) coupled to a generator to simulate load and the generator supplied by the grid. Were used 1 healthy rotor and one rotor with a broken bar fault running at two load conditions, 75% and 100%. The algorithm successfully identified broken bar faults in two frequency regions: around the mechanical rotational frequency of the rotor 28.06 Hz and 31.014 Hz operating at 75%; 25.325 Hz and 32.995 Hz operating at 100% and approximately twice the electrical frequency supply, 118.455 Hz and 123.942 Hz operating at 75%; 117.237 Hz and 124.683 Hz operating at 100%. The system showed high sensitivity, a good signal-to-noise ratio, and advantages over conventional methods for detecting broken bar faults in induction motors. |
|---|---|
| Autores principais: | Cavalcanti, Rafael |
| Outros Autores: | Dreyer, Uilian José; Aguiar, Everton Luiz de; Silva, Jean Carlos Cardozo da; Sousa, Kleiton Morais; Mendes, Andre C. |
| Assunto: | Algorithm Dynamic strain Fiber Bragg gratings Induction motor Rotor broken bar fault |
| Ano: | 2025 |
| País: | Portugal |
| Tipo de documento: | comunicação em conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade Politécnica de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital da UPB |
| _version_ | 1877782135687872512 |
|---|---|
| author | Cavalcanti, Rafael |
| author2 | Dreyer, Uilian José Aguiar, Everton Luiz de Silva, Jean Carlos Cardozo da Sousa, Kleiton Morais Mendes, Andre C. |
| author2_role | author author author author author |
| author_facet | Cavalcanti, Rafael Dreyer, Uilian José Aguiar, Everton Luiz de Silva, Jean Carlos Cardozo da Sousa, Kleiton Morais Mendes, Andre C. |
| author_role | author |
| contributor_name_str_mv | Biblioteca Digital da UPB |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Cavalcanti, Rafael\"},{\"Person.name\":\"Dreyer, Uilian José\"},{\"Person.name\":\"Aguiar, Everton Luiz de\"},{\"Person.name\":\"Silva, Jean Carlos Cardozo da\"},{\"Person.name\":\"Sousa, Kleiton Morais\"},{\"Person.name\":\"Mendes, Andre C.\",\"Person.identifier.cienciaID\":\"6718-7AE9-0953\",\"Person.identifier.orcid\":\"0000-0001-6390-1250\",\"Person.identifier.scopusAuthorID\":\"54920397900\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Biblioteca Digital da UPB |
| datacite.creators.creator.creatorName.fl_str_mv | Cavalcanti, Rafael Dreyer, Uilian José Aguiar, Everton Luiz de Silva, Jean Carlos Cardozo da Sousa, Kleiton Morais Mendes, Andre C. |
| datacite.date.Accepted.fl_str_mv | 2025-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2026-06-12T11:06:41Z |
| datacite.date.embargoed.fl_str_mv | 2026-06-12T11:06:41Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Algorithm Dynamic strain Fiber Bragg gratings Induction motor Rotor broken bar fault |
| datacite.titles.title.fl_str_mv | Diagnosis of broken bar fault in three-phase induction motors using fibre bragg grating strain sensors assisted by an algorithm |
| dc.contributor.none.fl_str_mv | Biblioteca Digital da UPB |
| dc.creator.none.fl_str_mv | Cavalcanti, Rafael Dreyer, Uilian José Aguiar, Everton Luiz de Silva, Jean Carlos Cardozo da Sousa, Kleiton Morais Mendes, Andre C. |
| dc.date.Accepted.fl_str_mv | 2025-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2026-06-12T11:06:41Z |
| dc.date.embargoed.fl_str_mv | 2026-06-12T11:06:41Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10198/36864 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Institute of Electrical and Electronics Engineers |
| dc.rights.cclincense.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Algorithm Dynamic strain Fiber Bragg gratings Induction motor Rotor broken bar fault |
| dc.title.fl_str_mv | Diagnosis of broken bar fault in three-phase induction motors using fibre bragg grating strain sensors assisted by an algorithm |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_5794 |
| description | This study developed an algorithm running on the cloud that makes data process and diagnoses broken rotor bar faults in three-phase induction motors (TIMs), by analyzing stator dynamic deformation using fibre Bragg gratings (FBGs) as sensors. This method can diagnose mechanical faults (misalignment, imbalance) and electrical faults (fractures or cracks in rotor rings or bars). FBG-based sensors were used due to their high multiplexing capability, electromagnetic radiation immunity, and long-distance operation. Tests were conducted on a small-scale induction motor (3 HP) coupled to a generator to simulate load and the generator supplied by the grid. Were used 1 healthy rotor and one rotor with a broken bar fault running at two load conditions, 75% and 100%. The algorithm successfully identified broken bar faults in two frequency regions: around the mechanical rotational frequency of the rotor 28.06 Hz and 31.014 Hz operating at 75%; 25.325 Hz and 32.995 Hz operating at 100% and approximately twice the electrical frequency supply, 118.455 Hz and 123.942 Hz operating at 75%; 117.237 Hz and 124.683 Hz operating at 100%. The system showed high sensitivity, a good signal-to-noise ratio, and advantages over conventional methods for detecting broken bar faults in induction motors. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | conferencePaper |
| fulltext.url.fl_str_mv | https://bibliotecadigital.unipb.pt/bitstreams/f33f28d5-74fc-4658-8570-cc731995a9ca/download |
| funder_facet_str_mv | FCT{{{_:::_}}}Fundação para a Ciência e a Tecnologia FCT{{{_:::_}}}Fundação para a Ciência e a Tecnologia |
| funding.funder.alternateName_str_mv | FCT FCT |
| funding.funder.identifier_str_mv | http://doi.org/10.13039/501100001871 http://doi.org/10.13039/501100001871 |
| funding.funder.name_str_mv | Fundação para a Ciência e a Tecnologia Fundação para a Ciência e a Tecnologia |
| funding.identifier_str_mv | UIDB/05757/2020 UIDP/05757/2020 |
| funding.name_str_mv | 6817 - DCRRNI ID 6817 - DCRRNI ID |
| funding_str_mv | UIDB/05757/2020 info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT UIDP/05757/2020 info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT |
| id | ipb_ddf43deed84bf4676380772a00433bea |
| identifier.url.fl_str_mv | http://hdl.handle.net/10198/36864 |
| inst_facet_str | urn:organizationAcronym:unipb{{{_:::_}}}Universidade Politécnica de Bragança |
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| institution | Universidade Politécnica de Bragança |
| instname_str | Universidade Politécnica de Bragança |
| language | eng |
| network_acronym_str | ipb |
| network_name_str | Biblioteca Digital da UPB |
| oai_identifier_str | oai:bibliotecadigital.unipb.pt:10198/36864 |
| organization_str_mv | urn:organizationAcronym:unipb |
| person_str_mv | Cavalcanti, Rafael Dreyer, Uilian José Aguiar, Everton Luiz de Silva, Jean Carlos Cardozo da Sousa, Kleiton Morais Mendes, Andre C. Mendes, Andre C. https://www.ciencia-id.pt/6718-7AE9-0953 6718-7AE9-0953 http://orcid.org/0000-0001-6390-1250 0000-0001-6390-1250 |
| publishDate | 2025 |
| publisher.none.fl_str_mv | Institute of Electrical and Electronics Engineers |
| repo_facet_str | urn:repositoryAcronym:ipb{{{_:::_}}}Biblioteca Digital da UPB |
| reponame_str | Biblioteca Digital da UPB |
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| service_str_mv | urn:repositoryAcronym:ipb |
| spelling | engInstitute of Electrical and Electronics EngineersengThis study developed an algorithm running on the cloud that makes data process and diagnoses broken rotor bar faults in three-phase induction motors (TIMs), by analyzing stator dynamic deformation using fibre Bragg gratings (FBGs) as sensors. This method can diagnose mechanical faults (misalignment, imbalance) and electrical faults (fractures or cracks in rotor rings or bars). FBG-based sensors were used due to their high multiplexing capability, electromagnetic radiation immunity, and long-distance operation. Tests were conducted on a small-scale induction motor (3 HP) coupled to a generator to simulate load and the generator supplied by the grid. Were used 1 healthy rotor and one rotor with a broken bar fault running at two load conditions, 75% and 100%. The algorithm successfully identified broken bar faults in two frequency regions: around the mechanical rotational frequency of the rotor 28.06 Hz and 31.014 Hz operating at 75%; 25.325 Hz and 32.995 Hz operating at 100% and approximately twice the electrical frequency supply, 118.455 Hz and 123.942 Hz operating at 75%; 117.237 Hz and 124.683 Hz operating at 100%. The system showed high sensitivity, a good signal-to-noise ratio, and advantages over conventional methods for detecting broken bar faults in induction motors.application/pdfengDiagnosis of broken bar fault in three-phase induction motors using fibre bragg grating strain sensors assisted by an algorithmCavalcanti, RafaelDreyer, Uilian JoséAguiar, Everton Luiz deSilva, Jean Carlos Cardozo daSousa, Kleiton MoraisPersonalMendes, Andre C.DSpacehttp://dspace.org/items/469e664f-f0ce-4ccf-a00d-21c086996765DSpacehttp://dspace.org/items/469e664f-f0ce-4ccf-a00d-21c086996765MendesAndre C.Ciência IDhttps://www.ciencia-id.pt6718-7AE9-0953ORCIDhttp://orcid.org0000-0001-6390-1250Scopus Author IDhttps://www.scopus.com54920397900HostingInstitutionOrganizationalBiblioteca Digital da UPBe-mailmailto:dspace@unipb.ptdspace@unipb.ptISBNIsPartOf979-8-3503-9275-3/25DOIIsPartOf10.1109/imoc65414.2025.113657382026-06-12T11:06:41Z20252025-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/36864http://purl.org/coar/access_right/c_abf2open accessAlgorithmDynamic strainFiber Bragg gratingsInduction motorRotor broken bar fault2853788 bytesFundação para a Ciência e a TecnologiaResearch Centre in Digitalization and Intelligent Roboticsinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PTUIDB/05757/20206817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871Fundação para a Ciência e a TecnologiaResearch Centre in Digitalization and Intelligent Roboticsinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PTUIDP/05757/20206817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871other research producthttp://purl.org/coar/resource_type/c_5794conference paper2025http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.unipb.pt/bitstreams/f33f28d5-74fc-4658-8570-cc731995a9ca/download2025 International Microwave and Optoelectronics Conference-IMOC451455 |
| spellingShingle | Diagnosis of broken bar fault in three-phase induction motors using fibre bragg grating strain sensors assisted by an algorithm Cavalcanti, Rafael Algorithm Dynamic strain Fiber Bragg gratings Induction motor Rotor broken bar fault |
| status | SINGLETON |
| subject.fl_str_mv | Algorithm Dynamic strain Fiber Bragg gratings Induction motor Rotor broken bar fault |
| title | Diagnosis of broken bar fault in three-phase induction motors using fibre bragg grating strain sensors assisted by an algorithm |
| title_full | Diagnosis of broken bar fault in three-phase induction motors using fibre bragg grating strain sensors assisted by an algorithm |
| title_fullStr | Diagnosis of broken bar fault in three-phase induction motors using fibre bragg grating strain sensors assisted by an algorithm |
| title_full_unstemmed | Diagnosis of broken bar fault in three-phase induction motors using fibre bragg grating strain sensors assisted by an algorithm |
| title_short | Diagnosis of broken bar fault in three-phase induction motors using fibre bragg grating strain sensors assisted by an algorithm |
| title_sort | Diagnosis of broken bar fault in three-phase induction motors using fibre bragg grating strain sensors assisted by an algorithm |
| topic | Algorithm Dynamic strain Fiber Bragg gratings Induction motor Rotor broken bar fault |
| topic_facet | Algorithm Dynamic strain Fiber Bragg gratings Induction motor Rotor broken bar fault |
| url | http://hdl.handle.net/10198/36864 |
| visible | 1 |