Multiple-fault detection methodology based on vibration and current analysis applied to bearings in induction motors and gearboxes on the kinematic chain

© 2016 Juan Jose Saucedo-Dorantes et al. Gearboxes and induction motors are important components in industrial applications and their monitoring condition is critical in the industrial sector so as to reduce costs and maintenance downtimes. There are several techniques associated with the fault diag...

ver descrição completa

Detalhes bibliográficos
Autores: Saucedo Dorantes, Juan Jose, Delgado Prieto, Miquel|||0000-0001-9282-838X, Ortega Redondo, Juan Antonio|||0000-0002-1403-8152, Osomio Rios, Alfredo, Romero Troncoso, Rene De Jesus
Formato: artículo
Fecha de publicación:2016
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/103509
Acesso em linha:https://hdl.handle.net/2117/103509
https://dx.doi.org/10.1155/2016/5467643
Access Level:acceso abierto
Palavra-chave:Motors
Electric motors, Induction
Motors elèctrics d'inducció
Àrees temàtiques de la UPC::Enginyeria mecànica::Motors
id ES_76bfa76e86cd0a5220f70c7c351248d2
oai_identifier_str oai:upcommons.upc.edu:2117/103509
network_acronym_str ES
network_name_str España
repository_id_str
spelling Multiple-fault detection methodology based on vibration and current analysis applied to bearings in induction motors and gearboxes on the kinematic chainSaucedo Dorantes, Juan JoseDelgado Prieto, Miquel|||0000-0001-9282-838XOrtega Redondo, Juan Antonio|||0000-0002-1403-8152Osomio Rios, AlfredoRomero Troncoso, Rene De JesusMotorsElectric motors, InductionMotorsMotors elèctrics d'induccióÀrees temàtiques de la UPC::Enginyeria mecànica::Motors© 2016 Juan Jose Saucedo-Dorantes et al. Gearboxes and induction motors are important components in industrial applications and their monitoring condition is critical in the industrial sector so as to reduce costs and maintenance downtimes. There are several techniques associated with the fault diagnosis in rotating machinery; however, vibration and stator currents analysis are commonly used due to their proven reliability. Indeed, vibration and current analysis provide fault condition information by means of the fault-related spectral component identification. This work presents a methodology based on vibration and current analysis for the diagnosis of wear in a gearbox and the detection of bearing defect in an induction motor both linked to the same kinematic chain; besides, the location of the fault-related components for analysis is supported by the corresponding theoretical models. The theoretical models are based on calculation of characteristic gearbox and bearings fault frequencies, in order to locate the spectral components of the faults. In this work, the influence of vibrations over the system is observed by performing motor current signal analysis to detect the presence of faults. The obtained results show the feasibility of detecting multiple faults in a kinematic chain, making the proposed methodology suitable to be used in the application of industrial machinery diagnosis.20162016-01-0120172017-04-18journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/103509https://dx.doi.org/10.1155/2016/5467643reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/1035092026-05-27T15:37:01Z
dc.title.none.fl_str_mv Multiple-fault detection methodology based on vibration and current analysis applied to bearings in induction motors and gearboxes on the kinematic chain
title Multiple-fault detection methodology based on vibration and current analysis applied to bearings in induction motors and gearboxes on the kinematic chain
spellingShingle Multiple-fault detection methodology based on vibration and current analysis applied to bearings in induction motors and gearboxes on the kinematic chain
Saucedo Dorantes, Juan Jose
Motors
Electric motors, Induction
Motors
Motors elèctrics d'inducció
Àrees temàtiques de la UPC::Enginyeria mecànica::Motors
title_short Multiple-fault detection methodology based on vibration and current analysis applied to bearings in induction motors and gearboxes on the kinematic chain
title_full Multiple-fault detection methodology based on vibration and current analysis applied to bearings in induction motors and gearboxes on the kinematic chain
title_fullStr Multiple-fault detection methodology based on vibration and current analysis applied to bearings in induction motors and gearboxes on the kinematic chain
title_full_unstemmed Multiple-fault detection methodology based on vibration and current analysis applied to bearings in induction motors and gearboxes on the kinematic chain
title_sort Multiple-fault detection methodology based on vibration and current analysis applied to bearings in induction motors and gearboxes on the kinematic chain
dc.creator.none.fl_str_mv Saucedo Dorantes, Juan Jose
Delgado Prieto, Miquel|||0000-0001-9282-838X
Ortega Redondo, Juan Antonio|||0000-0002-1403-8152
Osomio Rios, Alfredo
Romero Troncoso, Rene De Jesus
author Saucedo Dorantes, Juan Jose
author_facet Saucedo Dorantes, Juan Jose
Delgado Prieto, Miquel|||0000-0001-9282-838X
Ortega Redondo, Juan Antonio|||0000-0002-1403-8152
Osomio Rios, Alfredo
Romero Troncoso, Rene De Jesus
author_role author
author2 Delgado Prieto, Miquel|||0000-0001-9282-838X
Ortega Redondo, Juan Antonio|||0000-0002-1403-8152
Osomio Rios, Alfredo
Romero Troncoso, Rene De Jesus
author2_role author
author
author
author
dc.subject.none.fl_str_mv Motors
Electric motors, Induction
Motors
Motors elèctrics d'inducció
Àrees temàtiques de la UPC::Enginyeria mecànica::Motors
topic Motors
Electric motors, Induction
Motors
Motors elèctrics d'inducció
Àrees temàtiques de la UPC::Enginyeria mecànica::Motors
description © 2016 Juan Jose Saucedo-Dorantes et al. Gearboxes and induction motors are important components in industrial applications and their monitoring condition is critical in the industrial sector so as to reduce costs and maintenance downtimes. There are several techniques associated with the fault diagnosis in rotating machinery; however, vibration and stator currents analysis are commonly used due to their proven reliability. Indeed, vibration and current analysis provide fault condition information by means of the fault-related spectral component identification. This work presents a methodology based on vibration and current analysis for the diagnosis of wear in a gearbox and the detection of bearing defect in an induction motor both linked to the same kinematic chain; besides, the location of the fault-related components for analysis is supported by the corresponding theoretical models. The theoretical models are based on calculation of characteristic gearbox and bearings fault frequencies, in order to locate the spectral components of the faults. In this work, the influence of vibrations over the system is observed by performing motor current signal analysis to detect the presence of faults. The obtained results show the feasibility of detecting multiple faults in a kinematic chain, making the proposed methodology suitable to be used in the application of industrial machinery diagnosis.
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-01-01
2017
2017-04-18
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://hdl.handle.net/2117/103509
https://dx.doi.org/10.1155/2016/5467643
url https://hdl.handle.net/2117/103509
https://dx.doi.org/10.1155/2016/5467643
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
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
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869411073059192832
score 15,301603

Registos relacionados