A New Approach for Real Time Fault Diagnosis in Induction Motors Based on Vibration Measurement

Detalhes bibliográficos
Autor(a) principal: da Costa, Cesar [UNESP]
Data de Publicação: 2010
Outros Autores: Mathias, Mauro Hugo [UNESP], Ramos, Pedro, Girao, Pedro Silva
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/IMTC.2010.5488039
http://hdl.handle.net/11449/9488
Resumo: Condition monitoring is used to increase machinery availability and machinery performance, reducing consequential damage, increasing machine life, reducing spare parts inventories, and reducing breakdown maintenance. An efficient real time vibration measurement and analysis instruments is capable of providing warning and predicting faults at early stages. In this paper, a new methodology for the implementation of vibration measurement and analysis instruments in real time based on circuit architecture mapped from a MATLAB/Simulink model is presented. In this study, signal processing applications such as FIR filters and fast Fourier transform are treated as systems, which are implemented in hardware using a system generator toolbox, which translates a Simulink model in a hardware description language - HDL for FPGA implementations.
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spelling A New Approach for Real Time Fault Diagnosis in Induction Motors Based on Vibration MeasurementRotating electrical machineFaultCondition monitoringDiagnosticVibrationDigital signal processingFPGACondition monitoring is used to increase machinery availability and machinery performance, reducing consequential damage, increasing machine life, reducing spare parts inventories, and reducing breakdown maintenance. An efficient real time vibration measurement and analysis instruments is capable of providing warning and predicting faults at early stages. In this paper, a new methodology for the implementation of vibration measurement and analysis instruments in real time based on circuit architecture mapped from a MATLAB/Simulink model is presented. In this study, signal processing applications such as FIR filters and fast Fourier transform are treated as systems, which are implemented in hardware using a system generator toolbox, which translates a Simulink model in a hardware description language - HDL for FPGA implementations.UNESP Univ Estadual Paulista Julio de Mesquita Fi, Fac Engn, Dept Mech, São Paulo, BrazilUNESP Univ Estadual Paulista Julio de Mesquita Fi, Fac Engn, Dept Mech, São Paulo, BrazilIEEEUniversidade Estadual Paulista (Unesp)da Costa, Cesar [UNESP]Mathias, Mauro Hugo [UNESP]Ramos, PedroGirao, Pedro Silva2014-05-20T13:28:30Z2014-05-20T13:28:30Z2010-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject5http://dx.doi.org/10.1109/IMTC.2010.54880392010 IEEE International Instrumentation and Measurement Technology Conference I2mtc 2010, Proceedings. New York: IEEE, p. 5, 2010.1091-5281http://hdl.handle.net/11449/948810.1109/IMTC.2010.5488039WOS:0002879972002229074899537066812Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2010 IEEE International Instrumentation and Measurement Technology Conference I2mtc 2010, Proceedings0,198info:eu-repo/semantics/openAccess2024-07-01T20:32:40Zoai:repositorio.unesp.br:11449/9488Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:35:29.124501Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv A New Approach for Real Time Fault Diagnosis in Induction Motors Based on Vibration Measurement
title A New Approach for Real Time Fault Diagnosis in Induction Motors Based on Vibration Measurement
spellingShingle A New Approach for Real Time Fault Diagnosis in Induction Motors Based on Vibration Measurement
da Costa, Cesar [UNESP]
Rotating electrical machine
Fault
Condition monitoring
Diagnostic
Vibration
Digital signal processing
FPGA
title_short A New Approach for Real Time Fault Diagnosis in Induction Motors Based on Vibration Measurement
title_full A New Approach for Real Time Fault Diagnosis in Induction Motors Based on Vibration Measurement
title_fullStr A New Approach for Real Time Fault Diagnosis in Induction Motors Based on Vibration Measurement
title_full_unstemmed A New Approach for Real Time Fault Diagnosis in Induction Motors Based on Vibration Measurement
title_sort A New Approach for Real Time Fault Diagnosis in Induction Motors Based on Vibration Measurement
author da Costa, Cesar [UNESP]
author_facet da Costa, Cesar [UNESP]
Mathias, Mauro Hugo [UNESP]
Ramos, Pedro
Girao, Pedro Silva
author_role author
author2 Mathias, Mauro Hugo [UNESP]
Ramos, Pedro
Girao, Pedro Silva
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv da Costa, Cesar [UNESP]
Mathias, Mauro Hugo [UNESP]
Ramos, Pedro
Girao, Pedro Silva
dc.subject.por.fl_str_mv Rotating electrical machine
Fault
Condition monitoring
Diagnostic
Vibration
Digital signal processing
FPGA
topic Rotating electrical machine
Fault
Condition monitoring
Diagnostic
Vibration
Digital signal processing
FPGA
description Condition monitoring is used to increase machinery availability and machinery performance, reducing consequential damage, increasing machine life, reducing spare parts inventories, and reducing breakdown maintenance. An efficient real time vibration measurement and analysis instruments is capable of providing warning and predicting faults at early stages. In this paper, a new methodology for the implementation of vibration measurement and analysis instruments in real time based on circuit architecture mapped from a MATLAB/Simulink model is presented. In this study, signal processing applications such as FIR filters and fast Fourier transform are treated as systems, which are implemented in hardware using a system generator toolbox, which translates a Simulink model in a hardware description language - HDL for FPGA implementations.
publishDate 2010
dc.date.none.fl_str_mv 2010-01-01
2014-05-20T13:28:30Z
2014-05-20T13:28:30Z
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 http://dx.doi.org/10.1109/IMTC.2010.5488039
2010 IEEE International Instrumentation and Measurement Technology Conference I2mtc 2010, Proceedings. New York: IEEE, p. 5, 2010.
1091-5281
http://hdl.handle.net/11449/9488
10.1109/IMTC.2010.5488039
WOS:000287997200222
9074899537066812
url http://dx.doi.org/10.1109/IMTC.2010.5488039
http://hdl.handle.net/11449/9488
identifier_str_mv 2010 IEEE International Instrumentation and Measurement Technology Conference I2mtc 2010, Proceedings. New York: IEEE, p. 5, 2010.
1091-5281
10.1109/IMTC.2010.5488039
WOS:000287997200222
9074899537066812
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2010 IEEE International Instrumentation and Measurement Technology Conference I2mtc 2010, Proceedings
0,198
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 5
dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
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_ 1808129534034182144

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