Measurement of unbalanced voltages in three-phase induction motors using acoustic transducers and zero-crossing-weighted energy
Autor(a) principal: | |
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Data de Publicação: | 2021 |
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/INSCIT49950.2021.9557246 http://hdl.handle.net/11449/222690 |
Resumo: | In modern industries, transducers and measurement systems have been largely applied for equipment monitoring. In this context, three-phase induction motors (TIMs) are the main focus of predictive maintenance due to their relevance within the production lines. Among electrical and mechanical failures in TIMs, voltage unbalance (VU) is a critical condition that can lead the motor to total failure. It motivated the development of sensor-based solutions to diagnose this supply anomaly, including the acoustic emission (AE) technique, which stands out as a non-invasive alternative for fault diagnosis. However, none of the previous works carried out a comprehensive evaluation of VU. Therefore, to fill this research gap, this manuscript proposes a detection, phase(s) identification, and percentage classification of VU. This approach is based on AE signals acquired by piezoelectric transducers and Zero-Crossing-Weighted Energy (ZE) to accomplish the analysis. The methodology consisted of several experiments where the TIM was subjected to unbalanced voltages. The signals were processed using the ZE index to perform a 3D clustering map for phase identification and a 2D linear regression for percentage classification. The results showed that the proposed method successfully evaluated the origin and magnitude of VU faults in TIMs. |
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Measurement of unbalanced voltages in three-phase induction motors using acoustic transducers and zero-crossing-weighted energyAcoustic TransducersFault DiagnosisVoltage UnbalanceWavelet TransformIn modern industries, transducers and measurement systems have been largely applied for equipment monitoring. In this context, three-phase induction motors (TIMs) are the main focus of predictive maintenance due to their relevance within the production lines. Among electrical and mechanical failures in TIMs, voltage unbalance (VU) is a critical condition that can lead the motor to total failure. It motivated the development of sensor-based solutions to diagnose this supply anomaly, including the acoustic emission (AE) technique, which stands out as a non-invasive alternative for fault diagnosis. However, none of the previous works carried out a comprehensive evaluation of VU. Therefore, to fill this research gap, this manuscript proposes a detection, phase(s) identification, and percentage classification of VU. This approach is based on AE signals acquired by piezoelectric transducers and Zero-Crossing-Weighted Energy (ZE) to accomplish the analysis. The methodology consisted of several experiments where the TIM was subjected to unbalanced voltages. The signals were processed using the ZE index to perform a 3D clustering map for phase identification and a 2D linear regression for percentage classification. The results showed that the proposed method successfully evaluated the origin and magnitude of VU faults in TIMs.Sao Paulo State University Department of Electrical EngineeringAGH University of Science and Technology Department of Automatic Control and RoboticsSao Paulo State University Department of Electrical EngineeringUniversidade Estadual Paulista (UNESP)AGH University of Science and TechnologyLucas, Guilherme Beraldi [UNESP]De Castro, Bruno Albuquerque [UNESP]Alves, Brigite Peinado [UNESP]Glowacz, AdamAndreoli, Andre Luiz [UNESP]2022-04-28T19:46:07Z2022-04-28T19:46:07Z2021-08-23info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/INSCIT49950.2021.9557246INSCIT 2021 - 5th International Symposium on Instrumentation Systems, Circuits and Transducers.http://hdl.handle.net/11449/22269010.1109/INSCIT49950.2021.95572462-s2.0-85117500837Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengINSCIT 2021 - 5th International Symposium on Instrumentation Systems, Circuits and Transducersinfo:eu-repo/semantics/openAccess2022-04-28T19:46:07Zoai:repositorio.unesp.br:11449/222690Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:12:06.504048Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Measurement of unbalanced voltages in three-phase induction motors using acoustic transducers and zero-crossing-weighted energy |
title |
Measurement of unbalanced voltages in three-phase induction motors using acoustic transducers and zero-crossing-weighted energy |
spellingShingle |
Measurement of unbalanced voltages in three-phase induction motors using acoustic transducers and zero-crossing-weighted energy Lucas, Guilherme Beraldi [UNESP] Acoustic Transducers Fault Diagnosis Voltage Unbalance Wavelet Transform |
title_short |
Measurement of unbalanced voltages in three-phase induction motors using acoustic transducers and zero-crossing-weighted energy |
title_full |
Measurement of unbalanced voltages in three-phase induction motors using acoustic transducers and zero-crossing-weighted energy |
title_fullStr |
Measurement of unbalanced voltages in three-phase induction motors using acoustic transducers and zero-crossing-weighted energy |
title_full_unstemmed |
Measurement of unbalanced voltages in three-phase induction motors using acoustic transducers and zero-crossing-weighted energy |
title_sort |
Measurement of unbalanced voltages in three-phase induction motors using acoustic transducers and zero-crossing-weighted energy |
author |
Lucas, Guilherme Beraldi [UNESP] |
author_facet |
Lucas, Guilherme Beraldi [UNESP] De Castro, Bruno Albuquerque [UNESP] Alves, Brigite Peinado [UNESP] Glowacz, Adam Andreoli, Andre Luiz [UNESP] |
author_role |
author |
author2 |
De Castro, Bruno Albuquerque [UNESP] Alves, Brigite Peinado [UNESP] Glowacz, Adam Andreoli, Andre Luiz [UNESP] |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) AGH University of Science and Technology |
dc.contributor.author.fl_str_mv |
Lucas, Guilherme Beraldi [UNESP] De Castro, Bruno Albuquerque [UNESP] Alves, Brigite Peinado [UNESP] Glowacz, Adam Andreoli, Andre Luiz [UNESP] |
dc.subject.por.fl_str_mv |
Acoustic Transducers Fault Diagnosis Voltage Unbalance Wavelet Transform |
topic |
Acoustic Transducers Fault Diagnosis Voltage Unbalance Wavelet Transform |
description |
In modern industries, transducers and measurement systems have been largely applied for equipment monitoring. In this context, three-phase induction motors (TIMs) are the main focus of predictive maintenance due to their relevance within the production lines. Among electrical and mechanical failures in TIMs, voltage unbalance (VU) is a critical condition that can lead the motor to total failure. It motivated the development of sensor-based solutions to diagnose this supply anomaly, including the acoustic emission (AE) technique, which stands out as a non-invasive alternative for fault diagnosis. However, none of the previous works carried out a comprehensive evaluation of VU. Therefore, to fill this research gap, this manuscript proposes a detection, phase(s) identification, and percentage classification of VU. This approach is based on AE signals acquired by piezoelectric transducers and Zero-Crossing-Weighted Energy (ZE) to accomplish the analysis. The methodology consisted of several experiments where the TIM was subjected to unbalanced voltages. The signals were processed using the ZE index to perform a 3D clustering map for phase identification and a 2D linear regression for percentage classification. The results showed that the proposed method successfully evaluated the origin and magnitude of VU faults in TIMs. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-08-23 2022-04-28T19:46:07Z 2022-04-28T19:46:07Z |
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/INSCIT49950.2021.9557246 INSCIT 2021 - 5th International Symposium on Instrumentation Systems, Circuits and Transducers. http://hdl.handle.net/11449/222690 10.1109/INSCIT49950.2021.9557246 2-s2.0-85117500837 |
url |
http://dx.doi.org/10.1109/INSCIT49950.2021.9557246 http://hdl.handle.net/11449/222690 |
identifier_str_mv |
INSCIT 2021 - 5th International Symposium on Instrumentation Systems, Circuits and Transducers. 10.1109/INSCIT49950.2021.9557246 2-s2.0-85117500837 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
INSCIT 2021 - 5th International Symposium on Instrumentation Systems, Circuits and Transducers |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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_ |
1808128770244083712 |