Study of a three phase induction motor load estimation system by low-cost piezoelectric sensor

Detalhes bibliográficos
Autor(a) principal: Lucas, Guilherme Beraldi [UNESP]
Data de Publicação: 2019
Outros Autores: Castro, Bruno Albuquerque De [UNESP], Rocha, Marco Aurelio [UNESP], Andreoli, Andre Luiz [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/INDUSCON.2018.8627075
http://hdl.handle.net/11449/187431
Resumo: Three-phase induction motors (TIMs) play a key role in the industrial scenario. Due to their robustness and efficacy, coupled with increasingly accessible variable frequency control methods, TIMs have been used to drive many types of loads. At the same time as the increase in the use of TIM occurs, consequently, the importance of detecting fails in its operation increases as well. An analysis tool that demonstrates good results for a noninvasive diagnosis of damages in induction motors is the study of the signals from mechanical vibration in the machine. In this paper, these signals were processed in order to estimate the mechanical load present on the motor shaft and, to make it possible, low-cost piezoelectric sensors were used for transducing the mechanical vibrations into electrical signals. Besides that, for the data processing, study techniques were applied using RMS voltage and cross-correlation. Thus, it was possible to determine pattern changes of the signals in function of the imposed load and, in this way, to estimate it. It was found that, even without structural malfunctions or disturbances in the electrical network, the load attached to the shaft, on its own, changes the vibratory behavior of TIM.
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spelling Study of a three phase induction motor load estimation system by low-cost piezoelectric sensorLow-cost piezoelectric sensorSignal processingThree-phase induction motorThree-phase induction motors (TIMs) play a key role in the industrial scenario. Due to their robustness and efficacy, coupled with increasingly accessible variable frequency control methods, TIMs have been used to drive many types of loads. At the same time as the increase in the use of TIM occurs, consequently, the importance of detecting fails in its operation increases as well. An analysis tool that demonstrates good results for a noninvasive diagnosis of damages in induction motors is the study of the signals from mechanical vibration in the machine. In this paper, these signals were processed in order to estimate the mechanical load present on the motor shaft and, to make it possible, low-cost piezoelectric sensors were used for transducing the mechanical vibrations into electrical signals. Besides that, for the data processing, study techniques were applied using RMS voltage and cross-correlation. Thus, it was possible to determine pattern changes of the signals in function of the imposed load and, in this way, to estimate it. It was found that, even without structural malfunctions or disturbances in the electrical network, the load attached to the shaft, on its own, changes the vibratory behavior of TIM.São Paulo State University (UNESP)Department of Electrical Engineering São Paulo State University (UNESP)São Paulo State University (UNESP)Department of Electrical Engineering São Paulo State University (UNESP)Universidade Estadual Paulista (Unesp)Lucas, Guilherme Beraldi [UNESP]Castro, Bruno Albuquerque De [UNESP]Rocha, Marco Aurelio [UNESP]Andreoli, Andre Luiz [UNESP]2019-10-06T15:35:56Z2019-10-06T15:35:56Z2019-01-25info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject599-605http://dx.doi.org/10.1109/INDUSCON.2018.86270752018 13th IEEE International Conference on Industry Applications, INDUSCON 2018 - Proceedings, p. 599-605.http://hdl.handle.net/11449/18743110.1109/INDUSCON.2018.86270752-s2.0-85062562740Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2018 13th IEEE International Conference on Industry Applications, INDUSCON 2018 - Proceedingsinfo:eu-repo/semantics/openAccess2021-10-22T18:21:06Zoai:repositorio.unesp.br:11449/187431Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:31:19.473539Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Study of a three phase induction motor load estimation system by low-cost piezoelectric sensor
title Study of a three phase induction motor load estimation system by low-cost piezoelectric sensor
spellingShingle Study of a three phase induction motor load estimation system by low-cost piezoelectric sensor
Lucas, Guilherme Beraldi [UNESP]
Low-cost piezoelectric sensor
Signal processing
Three-phase induction motor
title_short Study of a three phase induction motor load estimation system by low-cost piezoelectric sensor
title_full Study of a three phase induction motor load estimation system by low-cost piezoelectric sensor
title_fullStr Study of a three phase induction motor load estimation system by low-cost piezoelectric sensor
title_full_unstemmed Study of a three phase induction motor load estimation system by low-cost piezoelectric sensor
title_sort Study of a three phase induction motor load estimation system by low-cost piezoelectric sensor
author Lucas, Guilherme Beraldi [UNESP]
author_facet Lucas, Guilherme Beraldi [UNESP]
Castro, Bruno Albuquerque De [UNESP]
Rocha, Marco Aurelio [UNESP]
Andreoli, Andre Luiz [UNESP]
author_role author
author2 Castro, Bruno Albuquerque De [UNESP]
Rocha, Marco Aurelio [UNESP]
Andreoli, Andre Luiz [UNESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Lucas, Guilherme Beraldi [UNESP]
Castro, Bruno Albuquerque De [UNESP]
Rocha, Marco Aurelio [UNESP]
Andreoli, Andre Luiz [UNESP]
dc.subject.por.fl_str_mv Low-cost piezoelectric sensor
Signal processing
Three-phase induction motor
topic Low-cost piezoelectric sensor
Signal processing
Three-phase induction motor
description Three-phase induction motors (TIMs) play a key role in the industrial scenario. Due to their robustness and efficacy, coupled with increasingly accessible variable frequency control methods, TIMs have been used to drive many types of loads. At the same time as the increase in the use of TIM occurs, consequently, the importance of detecting fails in its operation increases as well. An analysis tool that demonstrates good results for a noninvasive diagnosis of damages in induction motors is the study of the signals from mechanical vibration in the machine. In this paper, these signals were processed in order to estimate the mechanical load present on the motor shaft and, to make it possible, low-cost piezoelectric sensors were used for transducing the mechanical vibrations into electrical signals. Besides that, for the data processing, study techniques were applied using RMS voltage and cross-correlation. Thus, it was possible to determine pattern changes of the signals in function of the imposed load and, in this way, to estimate it. It was found that, even without structural malfunctions or disturbances in the electrical network, the load attached to the shaft, on its own, changes the vibratory behavior of TIM.
publishDate 2019
dc.date.none.fl_str_mv 2019-10-06T15:35:56Z
2019-10-06T15:35:56Z
2019-01-25
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/INDUSCON.2018.8627075
2018 13th IEEE International Conference on Industry Applications, INDUSCON 2018 - Proceedings, p. 599-605.
http://hdl.handle.net/11449/187431
10.1109/INDUSCON.2018.8627075
2-s2.0-85062562740
url http://dx.doi.org/10.1109/INDUSCON.2018.8627075
http://hdl.handle.net/11449/187431
identifier_str_mv 2018 13th IEEE International Conference on Industry Applications, INDUSCON 2018 - Proceedings, p. 599-605.
10.1109/INDUSCON.2018.8627075
2-s2.0-85062562740
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2018 13th IEEE International Conference on Industry Applications, INDUSCON 2018 - Proceedings
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 599-605
dc.source.none.fl_str_mv Scopus
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
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