Study of a three phase induction motor load estimation system by low-cost piezoelectric sensor
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , |
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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Repositório Institucional da UNESP |
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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 |
|
_version_ |
1808128941498564608 |