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

Bibliographic Details
Main Author: Pires, Vitor F.
Publication Date: 2020
Other Authors: Amaral, Tito G., Cordeiro, Armando, Foito, Daniel, Pires, Armando J., Martins, João F.
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/114688
Summary: UID/EEA/00066/2020 UIDB/50021/2020
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spelling Fault-tolerant SRM drive with a diagnosis method based on the entropy feature approachEntropy-based featureFault detectionFault diagnosisFault-tolerantMotor drivesSwitched reluctance motor (SRM)Materials Science(all)InstrumentationEngineering(all)Process Chemistry and TechnologyComputer Science ApplicationsFluid Flow and Transfer ProcessesUID/EEA/00066/2020 UIDB/50021/2020The 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.UNINOVA-Instituto de Desenvolvimento de Novas TecnologiasCTS - Centro de Tecnologia e SistemasDEE - Departamento de Engenharia Electrotécnica e de ComputadoresRUNPires, Vitor F.Amaral, Tito G.Cordeiro, ArmandoFoito, DanielPires, Armando J.Martins, João F.2021-03-29T22:24:29Z2020-05-192020-05-19T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/114688eng2076-3417PURE: 27917952https://doi.org/10.3390/app10103516info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T17:51:32Zoai:run.unl.pt:10362/114688Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:22:40.553271Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Fault-tolerant SRM drive with a diagnosis method based on the entropy feature approach
title Fault-tolerant SRM drive with a diagnosis method based on the entropy feature approach
spellingShingle Fault-tolerant SRM drive with a diagnosis method based on the entropy feature approach
Pires, Vitor F.
Entropy-based feature
Fault detection
Fault diagnosis
Fault-tolerant
Motor drives
Switched reluctance motor (SRM)
Materials Science(all)
Instrumentation
Engineering(all)
Process Chemistry and Technology
Computer Science Applications
Fluid Flow and Transfer Processes
title_short 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_sort Fault-tolerant SRM drive with a diagnosis method based on the entropy feature approach
author Pires, Vitor F.
author_facet Pires, Vitor F.
Amaral, Tito G.
Cordeiro, Armando
Foito, Daniel
Pires, Armando J.
Martins, João F.
author_role author
author2 Amaral, Tito G.
Cordeiro, Armando
Foito, Daniel
Pires, Armando J.
Martins, João F.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
CTS - Centro de Tecnologia e Sistemas
DEE - Departamento de Engenharia Electrotécnica e de Computadores
RUN
dc.contributor.author.fl_str_mv Pires, Vitor F.
Amaral, Tito G.
Cordeiro, Armando
Foito, Daniel
Pires, Armando J.
Martins, João F.
dc.subject.por.fl_str_mv Entropy-based feature
Fault detection
Fault diagnosis
Fault-tolerant
Motor drives
Switched reluctance motor (SRM)
Materials Science(all)
Instrumentation
Engineering(all)
Process Chemistry and Technology
Computer Science Applications
Fluid Flow and Transfer Processes
topic Entropy-based feature
Fault detection
Fault diagnosis
Fault-tolerant
Motor drives
Switched reluctance motor (SRM)
Materials Science(all)
Instrumentation
Engineering(all)
Process Chemistry and Technology
Computer Science Applications
Fluid Flow and Transfer Processes
description UID/EEA/00066/2020 UIDB/50021/2020
publishDate 2020
dc.date.none.fl_str_mv 2020-05-19
2020-05-19T00:00:00Z
2021-03-29T22:24:29Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/114688
url http://hdl.handle.net/10362/114688
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2076-3417
PURE: 27917952
https://doi.org/10.3390/app10103516
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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