A Review of Fault Diagnosis of Induction Machines

Autores
Verucchi, Carlos; Acosta, Gerardo Gabriel; Benger, Fernando Alberto
Año de publicación
2008
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Different alternatives to detect and diagnose faults in induction machines have been proposed and implemented in the last years. These new alternatives are characterised by an on-line and non-invasive feature, that is to say, the capacity to detect faults while the machine is working and the capacity to work sensorless. These characteristics, obtained by the new techniques, distinguish them from the traditional ones, which, in most cases, need that the machine which is being analysed is not working to do the diagnosis. The main purpose of this article is to revise the main alternatives in the detection of faults in induction machines and compare their contributions according to the information they require for the diagnosis, the number and relevance of the faults that can be detected, the speed to anticipate a fault and the accuracy in the diagnosis.
Fil: Verucchi, Carlos. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ingeniería Olavarría. Departamento de Electromecánica. Grupo INTELYMEC; Argentina
Fil: Acosta, Gerardo Gabriel. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Tandil. Sede Tandil del Centro de Investigaciones En Fisica E Ingenieria del Centro de la Provincia de Buenos Aires; Argentina
Fil: Benger, Fernando Alberto. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ingeniería Olavarría. Departamento de Electromecánica. Grupo INTELYMEC; Argentina
Materia
INDUCTION MACHINES
FAULT DETECTION AND DIAGNOSIS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/239563
Acceder
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spelling A Review of Fault Diagnosis of Induction MachinesVerucchi, CarlosAcosta, Gerardo GabrielBenger, Fernando AlbertoINDUCTION MACHINESFAULT DETECTION AND DIAGNOSIShttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Different alternatives to detect and diagnose faults in induction machines have been proposed and implemented in the last years. These new alternatives are characterised by an on-line and non-invasive feature, that is to say, the capacity to detect faults while the machine is working and the capacity to work sensorless. These characteristics, obtained by the new techniques, distinguish them from the traditional ones, which, in most cases, need that the machine which is being analysed is not working to do the diagnosis. The main purpose of this article is to revise the main alternatives in the detection of faults in induction machines and compare their contributions according to the information they require for the diagnosis, the number and relevance of the faults that can be detected, the speed to anticipate a fault and the accuracy in the diagnosis.Fil: Verucchi, Carlos. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ingeniería Olavarría. Departamento de Electromecánica. Grupo INTELYMEC; ArgentinaFil: Acosta, Gerardo Gabriel. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Tandil. Sede Tandil del Centro de Investigaciones En Fisica E Ingenieria del Centro de la Provincia de Buenos Aires; ArgentinaFil: Benger, Fernando Alberto. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ingeniería Olavarría. Departamento de Electromecánica. Grupo INTELYMEC; ArgentinaUniversidad Nacional del Sur. Departamento de Ingeniería Eléctrica2008-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/239563Verucchi, Carlos; Acosta, Gerardo Gabriel; Benger, Fernando Alberto; A Review of Fault Diagnosis of Induction Machines; Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica; Latin American Applied Research; 38; 2; 4-2008; 113-1210327-07931851-8796CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.scielo.org.ar/scielo.php?pid=S0327-07932008000200003&script=sci_abstractinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:53:19Zoai:ri.conicet.gov.ar:11336/239563instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:53:20.05CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A Review of Fault Diagnosis of Induction Machines
title A Review of Fault Diagnosis of Induction Machines
spellingShingle A Review of Fault Diagnosis of Induction Machines
Verucchi, Carlos
INDUCTION MACHINES
FAULT DETECTION AND DIAGNOSIS
title_short A Review of Fault Diagnosis of Induction Machines
title_full A Review of Fault Diagnosis of Induction Machines
title_fullStr A Review of Fault Diagnosis of Induction Machines
title_full_unstemmed A Review of Fault Diagnosis of Induction Machines
title_sort A Review of Fault Diagnosis of Induction Machines
dc.creator.none.fl_str_mv Verucchi, Carlos
Acosta, Gerardo Gabriel
Benger, Fernando Alberto
author Verucchi, Carlos
author_facet Verucchi, Carlos
Acosta, Gerardo Gabriel
Benger, Fernando Alberto
author_role author
author2 Acosta, Gerardo Gabriel
Benger, Fernando Alberto
author2_role author
author
dc.subject.none.fl_str_mv INDUCTION MACHINES
FAULT DETECTION AND DIAGNOSIS
topic INDUCTION MACHINES
FAULT DETECTION AND DIAGNOSIS
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Different alternatives to detect and diagnose faults in induction machines have been proposed and implemented in the last years. These new alternatives are characterised by an on-line and non-invasive feature, that is to say, the capacity to detect faults while the machine is working and the capacity to work sensorless. These characteristics, obtained by the new techniques, distinguish them from the traditional ones, which, in most cases, need that the machine which is being analysed is not working to do the diagnosis. The main purpose of this article is to revise the main alternatives in the detection of faults in induction machines and compare their contributions according to the information they require for the diagnosis, the number and relevance of the faults that can be detected, the speed to anticipate a fault and the accuracy in the diagnosis.
Fil: Verucchi, Carlos. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ingeniería Olavarría. Departamento de Electromecánica. Grupo INTELYMEC; Argentina
Fil: Acosta, Gerardo Gabriel. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Tandil. Sede Tandil del Centro de Investigaciones En Fisica E Ingenieria del Centro de la Provincia de Buenos Aires; Argentina
Fil: Benger, Fernando Alberto. Universidad Nacional del Centro de la Provincia de Buenos Aires. Facultad de Ingeniería Olavarría. Departamento de Electromecánica. Grupo INTELYMEC; Argentina
description Different alternatives to detect and diagnose faults in induction machines have been proposed and implemented in the last years. These new alternatives are characterised by an on-line and non-invasive feature, that is to say, the capacity to detect faults while the machine is working and the capacity to work sensorless. These characteristics, obtained by the new techniques, distinguish them from the traditional ones, which, in most cases, need that the machine which is being analysed is not working to do the diagnosis. The main purpose of this article is to revise the main alternatives in the detection of faults in induction machines and compare their contributions according to the information they require for the diagnosis, the number and relevance of the faults that can be detected, the speed to anticipate a fault and the accuracy in the diagnosis.
publishDate 2008
dc.date.none.fl_str_mv 2008-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/239563
Verucchi, Carlos; Acosta, Gerardo Gabriel; Benger, Fernando Alberto; A Review of Fault Diagnosis of Induction Machines; Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica; Latin American Applied Research; 38; 2; 4-2008; 113-121
0327-0793
1851-8796
CONICET Digital
CONICET
url http://hdl.handle.net/11336/239563
identifier_str_mv Verucchi, Carlos; Acosta, Gerardo Gabriel; Benger, Fernando Alberto; A Review of Fault Diagnosis of Induction Machines; Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica; Latin American Applied Research; 38; 2; 4-2008; 113-121
0327-0793
1851-8796
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.scielo.org.ar/scielo.php?pid=S0327-07932008000200003&script=sci_abstract
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica
publisher.none.fl_str_mv Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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