A FUZZY LOGIC APPROACH TO DIAGNOSE INDUCTION MOTOR FAULTS IN REMOTE SITE BY CELL PHONE
Autor(a) principal: | |
---|---|
Data de Publicação: | 2015 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/162687 |
Resumo: | Monitoring, fault detection, and diagnosis of electric induction motors are becoming increasingly important in the field of electrical machines as new data-processing techniques and methods for analyzing the motor stator current. Special attention has been devoted to noninvasive methods capable of detecting faults using measured data without requiring motor disassembly and its structural parts. Some enterprises such as Mining, Petroleum and Water and Sewage Treatment process uses induction motor of large power flow, what are installed at remote sites. The electrical and mechanical failures of such motors often disrupt productivity and require maintenance. Currently the containment of maintenance costs, these remote sites work without the presence of a service technician. A fuzzy logic approach may help to diagnose induction motor faults at these sites and to transmit the fault diagnosis (via 3G technology) to maintenance central or a cell phone programmed. The contribution of this paper is the use of fuzzy logic for the automated practical detection of broken bars in induction motors in remote locations without the presence of an experienced technician. |
id |
UNSP_3058edd5e26f712c47cf67243de038ac |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/162687 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
spelling |
A FUZZY LOGIC APPROACH TO DIAGNOSE INDUCTION MOTOR FAULTS IN REMOTE SITE BY CELL PHONEMonitoring, fault detection, and diagnosis of electric induction motors are becoming increasingly important in the field of electrical machines as new data-processing techniques and methods for analyzing the motor stator current. Special attention has been devoted to noninvasive methods capable of detecting faults using measured data without requiring motor disassembly and its structural parts. Some enterprises such as Mining, Petroleum and Water and Sewage Treatment process uses induction motor of large power flow, what are installed at remote sites. The electrical and mechanical failures of such motors often disrupt productivity and require maintenance. Currently the containment of maintenance costs, these remote sites work without the presence of a service technician. A fuzzy logic approach may help to diagnose induction motor faults at these sites and to transmit the fault diagnosis (via 3G technology) to maintenance central or a cell phone programmed. The contribution of this paper is the use of fuzzy logic for the automated practical detection of broken bars in induction motors in remote locations without the presence of an experienced technician.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)IFSP Fed Inst Educ, Electrotech Engn, BR-01109010 Sao Paulo, SP, BrazilUNESP Univ Estadual Paulista, Mech Engn, BR-12516410 Sao Paulo, SP, BrazilUNESP Univ Estadual Paulista, Mech Engn, BR-12516410 Sao Paulo, SP, BrazilInt Inst Acoustics & VibrationIFSP Fed Inst EducUniversidade Estadual Paulista (Unesp)Costa, Cesar daMathias, Mauro Hugo [UNESP]Crocker, M. J.Pawelczyk, M.Pedrielli, F.Carletti, E.Luzzi, S.2018-11-26T17:24:27Z2018-11-26T17:24:27Z2015-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject8Proceedings Of The 22nd International Congress On Sound And Vibration. Auburn: Int Inst Acoustics & Vibration, 8 p., 2015.http://hdl.handle.net/11449/162687WOS:0003989970050099074899537066812Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings Of The 22nd International Congress On Sound And Vibrationinfo:eu-repo/semantics/openAccess2024-07-01T20:32:39Zoai:repositorio.unesp.br:11449/162687Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:27:33.874782Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
A FUZZY LOGIC APPROACH TO DIAGNOSE INDUCTION MOTOR FAULTS IN REMOTE SITE BY CELL PHONE |
title |
A FUZZY LOGIC APPROACH TO DIAGNOSE INDUCTION MOTOR FAULTS IN REMOTE SITE BY CELL PHONE |
spellingShingle |
A FUZZY LOGIC APPROACH TO DIAGNOSE INDUCTION MOTOR FAULTS IN REMOTE SITE BY CELL PHONE Costa, Cesar da |
title_short |
A FUZZY LOGIC APPROACH TO DIAGNOSE INDUCTION MOTOR FAULTS IN REMOTE SITE BY CELL PHONE |
title_full |
A FUZZY LOGIC APPROACH TO DIAGNOSE INDUCTION MOTOR FAULTS IN REMOTE SITE BY CELL PHONE |
title_fullStr |
A FUZZY LOGIC APPROACH TO DIAGNOSE INDUCTION MOTOR FAULTS IN REMOTE SITE BY CELL PHONE |
title_full_unstemmed |
A FUZZY LOGIC APPROACH TO DIAGNOSE INDUCTION MOTOR FAULTS IN REMOTE SITE BY CELL PHONE |
title_sort |
A FUZZY LOGIC APPROACH TO DIAGNOSE INDUCTION MOTOR FAULTS IN REMOTE SITE BY CELL PHONE |
author |
Costa, Cesar da |
author_facet |
Costa, Cesar da Mathias, Mauro Hugo [UNESP] Crocker, M. J. Pawelczyk, M. Pedrielli, F. Carletti, E. Luzzi, S. |
author_role |
author |
author2 |
Mathias, Mauro Hugo [UNESP] Crocker, M. J. Pawelczyk, M. Pedrielli, F. Carletti, E. Luzzi, S. |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
IFSP Fed Inst Educ Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Costa, Cesar da Mathias, Mauro Hugo [UNESP] Crocker, M. J. Pawelczyk, M. Pedrielli, F. Carletti, E. Luzzi, S. |
description |
Monitoring, fault detection, and diagnosis of electric induction motors are becoming increasingly important in the field of electrical machines as new data-processing techniques and methods for analyzing the motor stator current. Special attention has been devoted to noninvasive methods capable of detecting faults using measured data without requiring motor disassembly and its structural parts. Some enterprises such as Mining, Petroleum and Water and Sewage Treatment process uses induction motor of large power flow, what are installed at remote sites. The electrical and mechanical failures of such motors often disrupt productivity and require maintenance. Currently the containment of maintenance costs, these remote sites work without the presence of a service technician. A fuzzy logic approach may help to diagnose induction motor faults at these sites and to transmit the fault diagnosis (via 3G technology) to maintenance central or a cell phone programmed. The contribution of this paper is the use of fuzzy logic for the automated practical detection of broken bars in induction motors in remote locations without the presence of an experienced technician. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-01-01 2018-11-26T17:24:27Z 2018-11-26T17:24:27Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Proceedings Of The 22nd International Congress On Sound And Vibration. Auburn: Int Inst Acoustics & Vibration, 8 p., 2015. http://hdl.handle.net/11449/162687 WOS:000398997005009 9074899537066812 |
identifier_str_mv |
Proceedings Of The 22nd International Congress On Sound And Vibration. Auburn: Int Inst Acoustics & Vibration, 8 p., 2015. WOS:000398997005009 9074899537066812 |
url |
http://hdl.handle.net/11449/162687 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Proceedings Of The 22nd International Congress On Sound And Vibration |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
8 |
dc.publisher.none.fl_str_mv |
Int Inst Acoustics & Vibration |
publisher.none.fl_str_mv |
Int Inst Acoustics & Vibration |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128362652106752 |