Data to support the assessment of the energy efficiency estimation methods on induction motors considering real-time monitoring.
The data presented in this article was used to assess and compare the most important methods used to estimate the efficiency during the operation of induction motors at different loads and power supply conditions. The experiment was developed in a test bench including a three-phase induction motor o...
- Autores:
-
Sousa Santos, Vladimir
Cabello Eras, Juan José
Sagastume, Alexis
Cabello Ulloa, Mario Javier
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/6294
- Acceso en línea:
- https://hdl.handle.net/11323/6294
https://repositorio.cuc.edu.co/
- Palabra clave:
- Motor efficiency estimation methods
Energy efficiency
Harmonics
Induction motors
Voltage unbalance
Métodos de estimación de la eficiencia del motor
Eficiencia energética
Armónicos
Motores de inducción
Desequilibrio de voltaje
- Rights
- openAccess
- License
- CC0 1.0 Universal
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|
dc.title.spa.fl_str_mv |
Data to support the assessment of the energy efficiency estimation methods on induction motors considering real-time monitoring. |
dc.title.translated.spa.fl_str_mv |
Datos para respaldar la evaluación de los métodos de estimación de eficiencia energética en motores de inducción considerando monitoreo en tiempo real. |
title |
Data to support the assessment of the energy efficiency estimation methods on induction motors considering real-time monitoring. |
spellingShingle |
Data to support the assessment of the energy efficiency estimation methods on induction motors considering real-time monitoring. Motor efficiency estimation methods Energy efficiency Harmonics Induction motors Voltage unbalance Métodos de estimación de la eficiencia del motor Eficiencia energética Armónicos Motores de inducción Desequilibrio de voltaje |
title_short |
Data to support the assessment of the energy efficiency estimation methods on induction motors considering real-time monitoring. |
title_full |
Data to support the assessment of the energy efficiency estimation methods on induction motors considering real-time monitoring. |
title_fullStr |
Data to support the assessment of the energy efficiency estimation methods on induction motors considering real-time monitoring. |
title_full_unstemmed |
Data to support the assessment of the energy efficiency estimation methods on induction motors considering real-time monitoring. |
title_sort |
Data to support the assessment of the energy efficiency estimation methods on induction motors considering real-time monitoring. |
dc.creator.fl_str_mv |
Sousa Santos, Vladimir Cabello Eras, Juan José Sagastume, Alexis Cabello Ulloa, Mario Javier |
dc.contributor.author.spa.fl_str_mv |
Sousa Santos, Vladimir Cabello Eras, Juan José Sagastume, Alexis Cabello Ulloa, Mario Javier |
dc.subject.spa.fl_str_mv |
Motor efficiency estimation methods Energy efficiency Harmonics Induction motors Voltage unbalance Métodos de estimación de la eficiencia del motor Eficiencia energética Armónicos Motores de inducción Desequilibrio de voltaje |
topic |
Motor efficiency estimation methods Energy efficiency Harmonics Induction motors Voltage unbalance Métodos de estimación de la eficiencia del motor Eficiencia energética Armónicos Motores de inducción Desequilibrio de voltaje |
description |
The data presented in this article was used to assess and compare the most important methods used to estimate the efficiency during the operation of induction motors at different loads and power supply conditions. The experiment was developed in a test bench including a three-phase induction motor of 1.1 kW (De Lorenzo DL 1021). In addition, an adjustable voltage source, a variable-frequency drive, a resistor, and a magnetic powder brake control unit to regulate the load were used during the experiments. A power quality and energy analyzer (Fluke 435 series 6) was used to measure the electric variables during the experiments. Moreover, for the mechanical measures, the sensors of the brake control unit (De Lorenzo DL 1054TT) and a magnetic powder brake (De Lorenzo DL 1019P) were used. In total, 11 load factors were measured at different operation conditions, including balanced sinusoidal voltage, balanced harmonic voltage, unbalanced sinusoidal voltage and unbalanced harmonic voltage. A total of 10 measures were taken for each load factor at each operation condition. The data presented in this paper can be useful in the development and evaluation of new efficiency estimation methods for induction motors, considering different operation conditions and load factors. Moreover, it can serve to assess the impact of the energy quality on the efficiency of induction motors. The data is related to the manuscript “Assessment of the energy efficiency estimation methods on induction motors considering real-time monitoring” |
publishDate |
2020 |
dc.date.accessioned.none.fl_str_mv |
2020-05-27T20:10:30Z |
dc.date.available.none.fl_str_mv |
2020-05-27T20:10:30Z |
dc.date.issued.none.fl_str_mv |
2020-03-23 |
dc.type.spa.fl_str_mv |
Artículo de revista |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.content.spa.fl_str_mv |
Text |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/ART |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/acceptedVersion |
format |
http://purl.org/coar/resource_type/c_6501 |
status_str |
acceptedVersion |
dc.identifier.issn.spa.fl_str_mv |
23523409 |
dc.identifier.uri.spa.fl_str_mv |
https://hdl.handle.net/11323/6294 |
dc.identifier.doi.spa.fl_str_mv |
10.1016/j.dib.2020.105512 |
dc.identifier.instname.spa.fl_str_mv |
Corporación Universidad de la Costa |
dc.identifier.reponame.spa.fl_str_mv |
REDICUC - Repositorio CUC |
dc.identifier.repourl.spa.fl_str_mv |
https://repositorio.cuc.edu.co/ |
identifier_str_mv |
23523409 10.1016/j.dib.2020.105512 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
url |
https://hdl.handle.net/11323/6294 https://repositorio.cuc.edu.co/ |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.spa.fl_str_mv |
https://ezproxy.cuc.edu.co:2062/science/article/pii/S2352340920304066?via%3Dihub#! |
dc.relation.references.spa.fl_str_mv |
[1] V. Sousa Santos, J.J. Cabello Eras, A. Sagastume Gutierrez, M.J. Cabello Ulloa, Assessment of the energy efficiency estimation methods on induction motors considering real-time monitoring, Meas. J. Int. Meas. Confed. 136 (2019) 237–247. https://doi.org/10.1016/j.measurement.2018.12.080. [2] B. Lu, T.G. Habetler, R.G. Harley, A nonintrusive and in-service motor-efficiency estimation method using air-gap torque with considerations of condition monitoring, IEEE Trans. Ind. Appl. 44 (2008) 1666–1674. https://doi.org/10. 1109/TIA.2008.2006297. [3] A.G. Siraki, P. Pillay, An in situ efficiency estimation technique for induction machines working with unbalanced supplies, IEEE Trans. Energy Convers. 27 (2012) 85–95. https://doi.org/10.1109/TEC.2011.2168563. [4] M. Hasanuzzaman, N.A. Rahim, R. Saidur, S.N. Kazi, Energy savings and emissions reductions for rewinding and replacement of industrial motor, Energy. 36 (2011) 233–240. https://doi.org/10.1016/j.energy.2010.10.046. [5] J.S. Hsu, S. Member, J.D. Kueck, S. Member, M. Olszewski, D.A. Casada, P.J. Otaduy, L.M. Tolbert, Comparison of Induction Motor Field Efficiency Evaluation Methods, IEEE Trans. Ind. Appl. 34 (1996) 117–125. [6] M.O. Adissi, A.C. Lima Filho, R.D. Gomes, D.M.G.B. Silva, F.A. Belo, Implementation and Deployment of an Intelligent Industrial Wireless System for Induction Motor Monitoring, J. Dyn. Syst. Meas. Control. 139 (2017) 124502. https: //doi.org/10.1115/1.4037167. [7] M.M. Stopa, M.A. Saldanha, A.A. Luiz, L.M.R. Baccarini, G.A.M. Lacerda, A Simple Torque Estimator for In-Service Efficiency Determination of Induction Motors, IEEE Trans. Ind. Appl. 54 (2018) 4967–4976. https://doi.org/10.1109/TIA. 2018.2835411. [8] B. Lu, T.G. Habetler, R.G. Harley, A nonintrusive efficiency estimation method for in-service motor testing using a modified induction motor equivalent circuit, in: 2006 37th IEEE Power Electron. Spec. Conf., 2006: pp. 1–6. https://doi.org/10.1109/pesc.2006.1712010. [9] M. Al-Badri, P. Pillay, P. Angers, A Novel in Situ Efficiency Estimation Algorithm for Three-Phase Induction Motors Operating with Distorted Unbalanced Voltages, IEEE Trans. Ind. Appl. 53 (2017) 5338–5347. https://doi.org/10.1109/TIA.2017.2728786. |
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CC0 1.0 Universal |
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dc.publisher.spa.fl_str_mv |
Data in Brief |
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Corporación Universidad de la Costa |
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Sousa Santos, VladimirCabello Eras, Juan JoséSagastume, AlexisCabello Ulloa, Mario Javier2020-05-27T20:10:30Z2020-05-27T20:10:30Z2020-03-2323523409https://hdl.handle.net/11323/629410.1016/j.dib.2020.105512Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/The data presented in this article was used to assess and compare the most important methods used to estimate the efficiency during the operation of induction motors at different loads and power supply conditions. The experiment was developed in a test bench including a three-phase induction motor of 1.1 kW (De Lorenzo DL 1021). In addition, an adjustable voltage source, a variable-frequency drive, a resistor, and a magnetic powder brake control unit to regulate the load were used during the experiments. A power quality and energy analyzer (Fluke 435 series 6) was used to measure the electric variables during the experiments. Moreover, for the mechanical measures, the sensors of the brake control unit (De Lorenzo DL 1054TT) and a magnetic powder brake (De Lorenzo DL 1019P) were used. In total, 11 load factors were measured at different operation conditions, including balanced sinusoidal voltage, balanced harmonic voltage, unbalanced sinusoidal voltage and unbalanced harmonic voltage. A total of 10 measures were taken for each load factor at each operation condition. The data presented in this paper can be useful in the development and evaluation of new efficiency estimation methods for induction motors, considering different operation conditions and load factors. Moreover, it can serve to assess the impact of the energy quality on the efficiency of induction motors. The data is related to the manuscript “Assessment of the energy efficiency estimation methods on induction motors considering real-time monitoring”Los datos presentados en este artículo se utilizaron para evaluar y comparar los métodos más importantes utilizados para estimar la eficiencia durante la operación de motores de inducción a diferentes cargas y condiciones de suministro de energía. El experimento se desarrolló en un banco de pruebas que incluye un motor de inducción trifásico de 1.1 kW (De Lorenzo DL 1021). Además, durante los experimentos se utilizaron una fuente de voltaje ajustable, una unidad de frecuencia variable, una resistencia y una unidad de control de freno de polvo magnético para regular la carga. Se usó un analizador de calidad y energía eléctrica (Fluke 435 serie 6) para medir las variables eléctricas durante los experimentos. Además, para las medidas mecánicas, se utilizaron los sensores de la unidad de control de frenos (De Lorenzo DL 1054TT) y un freno de polvo magnético (De Lorenzo DL 1019P). En total, se midieron 11 factores de carga en diferentes condiciones de operación, incluyendo voltaje sinusoidal equilibrado, voltaje armónico equilibrado, voltaje sinusoidal desequilibrado y voltaje armónico desequilibrado. Se tomaron un total de 10 medidas para cada factor de carga en cada condición de operación. Los datos presentados en este documento pueden ser útiles en el desarrollo y evaluación de nuevos métodos de estimación de eficiencia para motores de inducción, considerando diferentes condiciones de operación y factores de carga. Además, puede servir para evaluar el impacto de la calidad de la energía en la eficiencia de los motores de inducción. Los datos están relacionados con el manuscrito "Evaluación de los métodos de estimación de eficiencia energética en motores de inducción considerando monitoreo en tiempo real"Sousa Santos, Vladimir-will be generated-orcid-0000-0001-8808-1914-600Cabello Eras, Juan José-will be generated-orcid-0000-0003-0949-0862-600Sagastume, Alexis-will be generated-orcid-0000-0003-0188-7101-600Cabello Ulloa, Mario Javier-will be generated-orcid-0000-0002-6815-1177-600engData in Briefhttps://ezproxy.cuc.edu.co:2062/science/article/pii/S2352340920304066?via%3Dihub#![1] V. Sousa Santos, J.J. Cabello Eras, A. Sagastume Gutierrez, M.J. Cabello Ulloa, Assessment of the energy efficiency estimation methods on induction motors considering real-time monitoring, Meas. J. Int. Meas. Confed. 136 (2019) 237–247. https://doi.org/10.1016/j.measurement.2018.12.080.[2] B. Lu, T.G. Habetler, R.G. Harley, A nonintrusive and in-service motor-efficiency estimation method using air-gap torque with considerations of condition monitoring, IEEE Trans. Ind. Appl. 44 (2008) 1666–1674. https://doi.org/10. 1109/TIA.2008.2006297.[3] A.G. Siraki, P. Pillay, An in situ efficiency estimation technique for induction machines working with unbalanced supplies, IEEE Trans. Energy Convers. 27 (2012) 85–95. https://doi.org/10.1109/TEC.2011.2168563.[4] M. Hasanuzzaman, N.A. Rahim, R. Saidur, S.N. Kazi, Energy savings and emissions reductions for rewinding and replacement of industrial motor, Energy. 36 (2011) 233–240. https://doi.org/10.1016/j.energy.2010.10.046.[5] J.S. Hsu, S. Member, J.D. Kueck, S. Member, M. Olszewski, D.A. Casada, P.J. Otaduy, L.M. Tolbert, Comparison of Induction Motor Field Efficiency Evaluation Methods, IEEE Trans. Ind. Appl. 34 (1996) 117–125.[6] M.O. Adissi, A.C. Lima Filho, R.D. Gomes, D.M.G.B. Silva, F.A. Belo, Implementation and Deployment of an Intelligent Industrial Wireless System for Induction Motor Monitoring, J. Dyn. Syst. Meas. Control. 139 (2017) 124502. https: //doi.org/10.1115/1.4037167.[7] M.M. Stopa, M.A. Saldanha, A.A. Luiz, L.M.R. Baccarini, G.A.M. Lacerda, A Simple Torque Estimator for In-Service Efficiency Determination of Induction Motors, IEEE Trans. Ind. Appl. 54 (2018) 4967–4976. https://doi.org/10.1109/TIA. 2018.2835411.[8] B. Lu, T.G. Habetler, R.G. Harley, A nonintrusive efficiency estimation method for in-service motor testing using a modified induction motor equivalent circuit, in: 2006 37th IEEE Power Electron. Spec. Conf., 2006: pp. 1–6. https://doi.org/10.1109/pesc.2006.1712010.[9] M. Al-Badri, P. Pillay, P. Angers, A Novel in Situ Efficiency Estimation Algorithm for Three-Phase Induction Motors Operating with Distorted Unbalanced Voltages, IEEE Trans. Ind. Appl. 53 (2017) 5338–5347. https://doi.org/10.1109/TIA.2017.2728786.CC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Motor efficiency estimation methodsEnergy efficiencyHarmonicsInduction motorsVoltage unbalanceMétodos de estimación de la eficiencia del motorEficiencia energéticaArmónicosMotores de inducciónDesequilibrio de voltajeData to support the assessment of the energy efficiency estimation methods on induction motors considering real-time monitoring.Datos para respaldar la evaluación de los métodos de estimación de eficiencia energética en motores de inducción considerando monitoreo en tiempo real.Artículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersionPublicationORIGINALData to support the assessment of the energy.pdfData to support the assessment of the energy.pdfapplication/pdf1082810https://repositorio.cuc.edu.co/bitstreams/06b18c51-6b33-42c9-a27e-6438c9cbc968/downloadb7d25e9ab7933193b259771323186d84MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8701https://repositorio.cuc.edu.co/bitstreams/cd2be265-43b9-4e99-9e64-730dc77ac439/download42fd4ad1e89814f5e4a476b409eb708cMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.cuc.edu.co/bitstreams/8fe563ba-f139-4ab4-8066-fa12527a3eab/download8a4605be74aa9ea9d79846c1fba20a33MD53THUMBNAILData to support the assessment of the energy.pdf.jpgData to support the assessment of the energy.pdf.jpgimage/jpeg36779https://repositorio.cuc.edu.co/bitstreams/ba0c98fa-a589-43b8-a7d6-f35e05a158e0/download5548bee84e7f4a1ec6bc7d36ba5183b4MD54TEXTData to support the assessment of the energy.pdf.txtData to support the assessment of the energy.pdf.txttext/plain19535https://repositorio.cuc.edu.co/bitstreams/b56bffc5-bcbd-447e-a033-abb689548f8b/download376d66840f26a4657ef69ed5d386aec6MD5511323/6294oai:repositorio.cuc.edu.co:11323/62942024-09-17 12:45:29.669http://creativecommons.org/publicdomain/zero/1.0/CC0 1.0 Universalopen.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa CUCrepdigital@cuc.edu.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 |