Measurement of unbalanced voltages in three-phase induction motors using acoustic transducers and zero-crossing-weighted energy

Detalhes bibliográficos
Autor(a) principal: Lucas, Guilherme Beraldi [UNESP]
Data de Publicação: 2021
Outros Autores: De Castro, Bruno Albuquerque [UNESP], Alves, Brigite Peinado [UNESP], Glowacz, Adam, 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/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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spelling 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
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