Analytical Model of Induction Machines with Multiple Cage Faults Using the Winding Tensor Approach

[EN] Induction machines (IMs) are one of the main sources of mechanical power in many industrial processes, especially squirrel cage IMs (SCIMs), due to their robustness and reliability. Their sudden stoppage due to undetected faults may cause costly production breakdowns. One of the most frequent t...

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Autores: Martinez-Roman, Javier|||0000-0001-7544-8481, Puche-Panadero, Rubén|||0000-0003-2090-1941, Sapena-Bano, Angel|||0000-0002-3888-6498, Terrón-Santiago, Carla|||0000-0001-8178-3331, Burriel-Valencia, Jordi|||0000-0002-1680-4412, Manuel Pineda-Sanchez|||0000-0001-7844-8831
Tipo de documento: artigo
Data de publicação:2021
País:España
Recursos:Universitat Politècnica de València (UPV)
Repositório:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglês
OAI Identifier:oai:riunet.upv.es:10251/180862
Acesso em linha:https://riunet.upv.es/handle/10251/180862
Access Level:Acceso aberto
Palavra-chave:Inductance tensor
Induction machines
Fault diagnosis
Winding asymmetries
INGENIERIA ELECTRICA
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spelling Analytical Model of Induction Machines with Multiple Cage Faults Using the Winding Tensor ApproachMartinez-Roman, Javier|||0000-0001-7544-8481Puche-Panadero, Rubén|||0000-0003-2090-1941Sapena-Bano, Angel|||0000-0002-3888-6498Terrón-Santiago, Carla|||0000-0001-8178-3331Burriel-Valencia, Jordi|||0000-0002-1680-4412Manuel Pineda-Sanchez|||0000-0001-7844-8831Inductance tensorInduction machinesFault diagnosisWinding asymmetriesINGENIERIA ELECTRICA[EN] Induction machines (IMs) are one of the main sources of mechanical power in many industrial processes, especially squirrel cage IMs (SCIMs), due to their robustness and reliability. Their sudden stoppage due to undetected faults may cause costly production breakdowns. One of the most frequent types of faults are cage faults (bar and end ring segment breakages), especially in motors that directly drive high-inertia loads (such as fans), in motors with frequent starts and stops, and in case of poorly manufactured cage windings. A continuous monitoring of IMs is needed to reduce this risk, integrated in plant-wide condition based maintenance (CBM) systems. Diverse diagnostic techniques have been proposed in the technical literature, either data-based, detecting fault-characteristic perturbations in the data collected from the IM, and model-based, observing the differences between the data collected from the actual IM and from its digital twin model. In both cases, fast and accurate IM models are needed to develop and optimize the fault diagnosis techniques. On the one hand, the finite elements approach can provide highly accurate models, but its computational cost and processing requirements are very high to be used in on-line fault diagnostic systems. On the other hand, analytical models can be much faster, but they can be very complex in case of highly asymmetrical machines, such as IMs with multiple cage faults. In this work, a new method is proposed for the analytical modelling of IMs with asymmetrical cage windings using a tensor based approach, which greatly reduces this complexity by applying routine tensor algebra to obtain the parameters of the faulty IM model from the healthy one. This winding tensor approach is explained theoretically and validated with the diagnosis of a commercial IM with multiple cage faults.This work was supported by the Spanish "Ministerio de Ciencia, Innovacion y Universidades (MCIU)", the "Agencia Estatal de Investigacion (AEI)" and the "Fondo Europeo de Desarrollo Regional (FEDER)" in the framework of the "Proyectos I+D+i -Retos Investigacion 2018", project reference RTI2018-102175-B-I00 (MCIU/AEI/FEDER, UE)MDPI AGEscuela Técnica Superior de Ingeniería Aeroespacial y Diseño IndustrialDepartamento de Ingeniería EléctricaInstituto Universitario de Investigación de Ingeniería EnergéticaEscuela Técnica Superior de Ingeniería IndustrialAGENCIA ESTATAL DE INVESTIGACIONEuropean Regional Development FundRepositorio Institucional de la Universitat Politècnica de València Riunet20212021-07-27journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/180862reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 RTI2018-102175-B-I00 DISEÑO DE MODELOS AVANZADOS DE SIMULACION DE AEROGENERADORES PARA EL DESARROLLO Y PUESTA A PUNTO DE SISTEMAS DE DIAGNOSTICO DE AVERIAS "ON-LINE".open accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento (by)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1808622026-06-13T07:49:27Z
dc.title.none.fl_str_mv Analytical Model of Induction Machines with Multiple Cage Faults Using the Winding Tensor Approach
title Analytical Model of Induction Machines with Multiple Cage Faults Using the Winding Tensor Approach
spellingShingle Analytical Model of Induction Machines with Multiple Cage Faults Using the Winding Tensor Approach
Martinez-Roman, Javier|||0000-0001-7544-8481
Inductance tensor
Induction machines
Fault diagnosis
Winding asymmetries
INGENIERIA ELECTRICA
title_short Analytical Model of Induction Machines with Multiple Cage Faults Using the Winding Tensor Approach
title_full Analytical Model of Induction Machines with Multiple Cage Faults Using the Winding Tensor Approach
title_fullStr Analytical Model of Induction Machines with Multiple Cage Faults Using the Winding Tensor Approach
title_full_unstemmed Analytical Model of Induction Machines with Multiple Cage Faults Using the Winding Tensor Approach
title_sort Analytical Model of Induction Machines with Multiple Cage Faults Using the Winding Tensor Approach
dc.creator.none.fl_str_mv Martinez-Roman, Javier|||0000-0001-7544-8481
Puche-Panadero, Rubén|||0000-0003-2090-1941
Sapena-Bano, Angel|||0000-0002-3888-6498
Terrón-Santiago, Carla|||0000-0001-8178-3331
Burriel-Valencia, Jordi|||0000-0002-1680-4412
Manuel Pineda-Sanchez|||0000-0001-7844-8831
author Martinez-Roman, Javier|||0000-0001-7544-8481
author_facet Martinez-Roman, Javier|||0000-0001-7544-8481
Puche-Panadero, Rubén|||0000-0003-2090-1941
Sapena-Bano, Angel|||0000-0002-3888-6498
Terrón-Santiago, Carla|||0000-0001-8178-3331
Burriel-Valencia, Jordi|||0000-0002-1680-4412
Manuel Pineda-Sanchez|||0000-0001-7844-8831
author_role author
author2 Puche-Panadero, Rubén|||0000-0003-2090-1941
Sapena-Bano, Angel|||0000-0002-3888-6498
Terrón-Santiago, Carla|||0000-0001-8178-3331
Burriel-Valencia, Jordi|||0000-0002-1680-4412
Manuel Pineda-Sanchez|||0000-0001-7844-8831
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Escuela Técnica Superior de Ingeniería Aeroespacial y Diseño Industrial
Departamento de Ingeniería Eléctrica
Instituto Universitario de Investigación de Ingeniería Energética
Escuela Técnica Superior de Ingeniería Industrial
AGENCIA ESTATAL DE INVESTIGACION
European Regional Development Fund
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Inductance tensor
Induction machines
Fault diagnosis
Winding asymmetries
INGENIERIA ELECTRICA
topic Inductance tensor
Induction machines
Fault diagnosis
Winding asymmetries
INGENIERIA ELECTRICA
description [EN] Induction machines (IMs) are one of the main sources of mechanical power in many industrial processes, especially squirrel cage IMs (SCIMs), due to their robustness and reliability. Their sudden stoppage due to undetected faults may cause costly production breakdowns. One of the most frequent types of faults are cage faults (bar and end ring segment breakages), especially in motors that directly drive high-inertia loads (such as fans), in motors with frequent starts and stops, and in case of poorly manufactured cage windings. A continuous monitoring of IMs is needed to reduce this risk, integrated in plant-wide condition based maintenance (CBM) systems. Diverse diagnostic techniques have been proposed in the technical literature, either data-based, detecting fault-characteristic perturbations in the data collected from the IM, and model-based, observing the differences between the data collected from the actual IM and from its digital twin model. In both cases, fast and accurate IM models are needed to develop and optimize the fault diagnosis techniques. On the one hand, the finite elements approach can provide highly accurate models, but its computational cost and processing requirements are very high to be used in on-line fault diagnostic systems. On the other hand, analytical models can be much faster, but they can be very complex in case of highly asymmetrical machines, such as IMs with multiple cage faults. In this work, a new method is proposed for the analytical modelling of IMs with asymmetrical cage windings using a tensor based approach, which greatly reduces this complexity by applying routine tensor algebra to obtain the parameters of the faulty IM model from the healthy one. This winding tensor approach is explained theoretically and validated with the diagnosis of a commercial IM with multiple cage faults.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-07-27
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/180862
url https://riunet.upv.es/handle/10251/180862
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 RTI2018-102175-B-I00 DISEÑO DE MODELOS AVANZADOS DE SIMULACION DE AEROGENERADORES PARA EL DESARROLLO Y PUESTA A PUNTO DE SISTEMAS DE DIAGNOSTICO DE AVERIAS "ON-LINE".
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI AG
publisher.none.fl_str_mv MDPI AG
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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