On-line system for faults detection in induction motors based on PCA

Detalhes bibliográficos
Autor(a) principal: Marques, Miguel Alexandre Castanheira
Data de Publicação: 2012
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/8578
Resumo: Dissertation to obtain the degree of Master in Electrical and Computer Engineering
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spelling On-line system for faults detection in induction motors based on PCAInduction motorDiagnosisFault detectionCondition monitoringPrincipal component analysisPCADissertation to obtain the degree of Master in Electrical and Computer EngineeringNowadays in the industry there many processes where human intervention is replaced by electrical machines, especially induction machines due to his robustness, performance and low cost. Although, induction machines are a high reliable device, they are also susceptible to faults. Therefore, the study of induction machine state is essential to reduce human and financial costs. The faults in induction machines can be divided mainly into two types: electrical faults and mechanical faults. Electrical faults represent between 40% and 50% of the reported faults and can be divided essentially in 2 types: stator unbalances and broken rotor bars. Taking into account the high dependency of induction machines and the massive use of automatic processes the industrial level, it is necessary to have diagnostic and monitoring systems these machines. It is presented in this work an on-line system for detection and diagnosis of electrical faults in induction motors based on computer-aided monitoring of the supply currents. The main objective is to detect and identify the presence of broken rotor bars and stator short-circuits in the induction motor. The presence of faults in the machine causes different disturbances in the supply currents. Through a stationary reference frame, such as αβ transform it is possible to extract and manipulate the results obtained from the supply currents using Eigen decomposition.Faculdade de Ciências e TecnologiaMartins, João FJorge, RuiRUNMarques, Miguel Alexandre Castanheira2013-01-21T10:04:18Z20122012-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/8578enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T03:41:20Zoai:run.unl.pt:10362/8578Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:18:17.690241Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv On-line system for faults detection in induction motors based on PCA
title On-line system for faults detection in induction motors based on PCA
spellingShingle On-line system for faults detection in induction motors based on PCA
Marques, Miguel Alexandre Castanheira
Induction motor
Diagnosis
Fault detection
Condition monitoring
Principal component analysis
PCA
title_short On-line system for faults detection in induction motors based on PCA
title_full On-line system for faults detection in induction motors based on PCA
title_fullStr On-line system for faults detection in induction motors based on PCA
title_full_unstemmed On-line system for faults detection in induction motors based on PCA
title_sort On-line system for faults detection in induction motors based on PCA
author Marques, Miguel Alexandre Castanheira
author_facet Marques, Miguel Alexandre Castanheira
author_role author
dc.contributor.none.fl_str_mv Martins, João F
Jorge, Rui
RUN
dc.contributor.author.fl_str_mv Marques, Miguel Alexandre Castanheira
dc.subject.por.fl_str_mv Induction motor
Diagnosis
Fault detection
Condition monitoring
Principal component analysis
PCA
topic Induction motor
Diagnosis
Fault detection
Condition monitoring
Principal component analysis
PCA
description Dissertation to obtain the degree of Master in Electrical and Computer Engineering
publishDate 2012
dc.date.none.fl_str_mv 2012
2012-01-01T00:00:00Z
2013-01-21T10:04:18Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/8578
url http://hdl.handle.net/10362/8578
dc.language.iso.fl_str_mv eng
language eng
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.publisher.none.fl_str_mv Faculdade de Ciências e Tecnologia
publisher.none.fl_str_mv Faculdade de Ciências e Tecnologia
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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