Advanced analysis of motor currents for the diagnosis of the rotor condition in electric motors operating in mining facilities

[EN] Predictive maintenance of electric motors is a topic of increasing importance in many industrial applications. The mining industry is not an exception; many electric motors operating in mining facilities are critical machines and their unexpected failures may imply significant losses and can be...

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Autores: J. Antonino-Daviu|||0000-0003-1898-2228, Quijano-Lopez, Alfredo|||0000-0001-7916-8698, Rubbiolo, Martin, Climente Alarcon, Vicente
Tipo de recurso: artículo
Fecha de publicación:2018
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/136400
Acceso en línea:https://riunet.upv.es/handle/10251/136400
Access Level:acceso abierto
Palabra clave:Induction motors
Mining
Fault diagnosis
Transient analysis
Rotor
Reliability
Fault detection
Wavelet.
INGENIERIA ELECTRICA
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spelling Advanced analysis of motor currents for the diagnosis of the rotor condition in electric motors operating in mining facilitiesJ. Antonino-Daviu|||0000-0003-1898-2228Quijano-Lopez, Alfredo|||0000-0001-7916-8698Rubbiolo, MartinClimente Alarcon, VicenteInduction motorsMiningFault diagnosisTransient analysisRotorReliabilityFault detectionWavelet.INGENIERIA ELECTRICA[EN] Predictive maintenance of electric motors is a topic of increasing importance in many industrial applications. The mining industry is not an exception; many electric motors operating in mining facilities are critical machines and their unexpected failures may imply significant losses and can be hazardous for the users. Due to these facts, an increasing research effort has been dedicated to investigate on new techniques that are able to provide a reliable diagnostic of the motor condition. Over recent years, monitoring of electrical quantities (e.g. motor currents) has emerged as a very attractive option for determining the health of several motor parts (rotor, eccentricities, bearings) due to its very interesting advantages: possibility of remote motor monitoring, non-invasive nature, simple application, broad fault coverage¿The traditional methods based on analysis of motor currents during steady-state operation (MCSA) are being complemented, when not replaced, by more reliable approaches. This work applies an innovative transient based methodology (ATCSA) to several case studies referred to large motors operating in mining facilities. The results prove how this modern methodology enables to overcome some important drawbacks of the classical MCSA, such as its unsuitability under varying speed conditions, and may provide an earlier indication of rotor electrical asymmetries under such working conditions.This work was supported in part by the Spanish Ministerio de Economia y Competitividad (MINECO) and in part by the FEDER Program in the framework of the Proyectos I+D del Subprograma de Generacion de Conocimiento, Programa Estatal de Fomento de la Investigacion Cientifica y Tecnica de Excelencia under Grant DPI2014-52842-P. (Corresponding author: Jose A. Antonino-Daviu.)Institute of Electrical and Electronics EngineersInstituto de Tecnología EléctricaDepartamento de Ingeniería EléctricaEscuela Técnica Superior de Ingeniería IndustrialMinisterio de Economía, Industria y CompetitividadRepositorio Institucional de la Universitat Politècnica de València Riunet20182018-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://riunet.upv.es/handle/10251/136400reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengMinisterio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 DPI2014-52842-P COMBINACION DE TECNICAS NO INVASIVAS DE MONITORIZACION DEL ESTADO PARA EL DESARROLLO DE MOTORES ELECTRICOS INTELIGENTESopen accesshttp://purl.org/coar/access_right/c_abf2Reserva de todos los derechoshttp://rightsstatements.org/vocab/InC/1.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1364002026-06-13T07:49:27Z
dc.title.none.fl_str_mv Advanced analysis of motor currents for the diagnosis of the rotor condition in electric motors operating in mining facilities
title Advanced analysis of motor currents for the diagnosis of the rotor condition in electric motors operating in mining facilities
spellingShingle Advanced analysis of motor currents for the diagnosis of the rotor condition in electric motors operating in mining facilities
J. Antonino-Daviu|||0000-0003-1898-2228
Induction motors
Mining
Fault diagnosis
Transient analysis
Rotor
Reliability
Fault detection
Wavelet.
INGENIERIA ELECTRICA
title_short Advanced analysis of motor currents for the diagnosis of the rotor condition in electric motors operating in mining facilities
title_full Advanced analysis of motor currents for the diagnosis of the rotor condition in electric motors operating in mining facilities
title_fullStr Advanced analysis of motor currents for the diagnosis of the rotor condition in electric motors operating in mining facilities
title_full_unstemmed Advanced analysis of motor currents for the diagnosis of the rotor condition in electric motors operating in mining facilities
title_sort Advanced analysis of motor currents for the diagnosis of the rotor condition in electric motors operating in mining facilities
dc.creator.none.fl_str_mv J. Antonino-Daviu|||0000-0003-1898-2228
Quijano-Lopez, Alfredo|||0000-0001-7916-8698
Rubbiolo, Martin
Climente Alarcon, Vicente
author J. Antonino-Daviu|||0000-0003-1898-2228
author_facet J. Antonino-Daviu|||0000-0003-1898-2228
Quijano-Lopez, Alfredo|||0000-0001-7916-8698
Rubbiolo, Martin
Climente Alarcon, Vicente
author_role author
author2 Quijano-Lopez, Alfredo|||0000-0001-7916-8698
Rubbiolo, Martin
Climente Alarcon, Vicente
author2_role author
author
author
dc.contributor.none.fl_str_mv Instituto de Tecnología Eléctrica
Departamento de Ingeniería Eléctrica
Escuela Técnica Superior de Ingeniería Industrial
Ministerio de Economía, Industria y Competitividad
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Induction motors
Mining
Fault diagnosis
Transient analysis
Rotor
Reliability
Fault detection
Wavelet.
INGENIERIA ELECTRICA
topic Induction motors
Mining
Fault diagnosis
Transient analysis
Rotor
Reliability
Fault detection
Wavelet.
INGENIERIA ELECTRICA
description [EN] Predictive maintenance of electric motors is a topic of increasing importance in many industrial applications. The mining industry is not an exception; many electric motors operating in mining facilities are critical machines and their unexpected failures may imply significant losses and can be hazardous for the users. Due to these facts, an increasing research effort has been dedicated to investigate on new techniques that are able to provide a reliable diagnostic of the motor condition. Over recent years, monitoring of electrical quantities (e.g. motor currents) has emerged as a very attractive option for determining the health of several motor parts (rotor, eccentricities, bearings) due to its very interesting advantages: possibility of remote motor monitoring, non-invasive nature, simple application, broad fault coverage¿The traditional methods based on analysis of motor currents during steady-state operation (MCSA) are being complemented, when not replaced, by more reliable approaches. This work applies an innovative transient based methodology (ATCSA) to several case studies referred to large motors operating in mining facilities. The results prove how this modern methodology enables to overcome some important drawbacks of the classical MCSA, such as its unsuitability under varying speed conditions, and may provide an earlier indication of rotor electrical asymmetries under such working conditions.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/136400
url https://riunet.upv.es/handle/10251/136400
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 DPI2014-52842-P COMBINACION DE TECNICAS NO INVASIVAS DE MONITORIZACION DEL ESTADO PARA EL DESARROLLO DE MOTORES ELECTRICOS INTELIGENTES
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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