Induction machine model with space harmonics for the diagnosis of rotor eccentricity, based on the convolution theorem

[EN] Condition based maintenance (CBM) systems of induction machines (IMs) require fast and accurate models that can reproduce the fault related harmonics generated by different kinds of faults. Such models are needed to develop new diagnostic algorithms for detecting the faults at an early stage, t...

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Autores: Sapena-Bano, Angel|||0000-0002-3888-6498, Martinez-Roman, Javier|||0000-0001-7544-8481, Puche-Panadero, Rubén|||0000-0003-2090-1941, Manuel Pineda-Sanchez|||0000-0001-7844-8831, Riera-Guasp, Martín|||0000-0003-1327-242X, Pérez-Cruz, Juan
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/169060
Acceso en línea:https://riunet.upv.es/handle/10251/169060
Access Level:acceso abierto
Palabra clave:Inductance
Induction machines
Convolution
Discrete Fourier transforms
Fault diagnosis
Air gap eccentricity
INGENIERIA ELECTRICA
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oai_identifier_str oai:riunet.upv.es:10251/169060
network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv Induction machine model with space harmonics for the diagnosis of rotor eccentricity, based on the convolution theorem
title Induction machine model with space harmonics for the diagnosis of rotor eccentricity, based on the convolution theorem
spellingShingle Induction machine model with space harmonics for the diagnosis of rotor eccentricity, based on the convolution theorem
Sapena-Bano, Angel|||0000-0002-3888-6498
Inductance
Induction machines
Convolution
Discrete Fourier transforms
Fault diagnosis
Air gap eccentricity
INGENIERIA ELECTRICA
title_short Induction machine model with space harmonics for the diagnosis of rotor eccentricity, based on the convolution theorem
title_full Induction machine model with space harmonics for the diagnosis of rotor eccentricity, based on the convolution theorem
title_fullStr Induction machine model with space harmonics for the diagnosis of rotor eccentricity, based on the convolution theorem
title_full_unstemmed Induction machine model with space harmonics for the diagnosis of rotor eccentricity, based on the convolution theorem
title_sort Induction machine model with space harmonics for the diagnosis of rotor eccentricity, based on the convolution theorem
dc.creator.none.fl_str_mv Sapena-Bano, Angel|||0000-0002-3888-6498
Martinez-Roman, Javier|||0000-0001-7544-8481
Puche-Panadero, Rubén|||0000-0003-2090-1941
Manuel Pineda-Sanchez|||0000-0001-7844-8831
Riera-Guasp, Martín|||0000-0003-1327-242X
Pérez-Cruz, Juan
author Sapena-Bano, Angel|||0000-0002-3888-6498
author_facet Sapena-Bano, Angel|||0000-0002-3888-6498
Martinez-Roman, Javier|||0000-0001-7544-8481
Puche-Panadero, Rubén|||0000-0003-2090-1941
Manuel Pineda-Sanchez|||0000-0001-7844-8831
Riera-Guasp, Martín|||0000-0003-1327-242X
Pérez-Cruz, Juan
author_role author
author2 Martinez-Roman, Javier|||0000-0001-7544-8481
Puche-Panadero, Rubén|||0000-0003-2090-1941
Manuel Pineda-Sanchez|||0000-0001-7844-8831
Riera-Guasp, Martín|||0000-0003-1327-242X
Pérez-Cruz, Juan
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 Investigación
European Regional Development Fund
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Inductance
Induction machines
Convolution
Discrete Fourier transforms
Fault diagnosis
Air gap eccentricity
INGENIERIA ELECTRICA
topic Inductance
Induction machines
Convolution
Discrete Fourier transforms
Fault diagnosis
Air gap eccentricity
INGENIERIA ELECTRICA
description [EN] Condition based maintenance (CBM) systems of induction machines (IMs) require fast and accurate models that can reproduce the fault related harmonics generated by different kinds of faults. Such models are needed to develop new diagnostic algorithms for detecting the faults at an early stage, to analyse the physical interactions between simultaneous faults of different types, or to train expert systems that can supervise and identify these faults in an autonomous way. To achieve these goals, these models must take into account the space harmonics of the air gap magnetomotive force (MMF) generated by the machine windings under fault conditions, due to the complex interactions between spatial and time harmonics in a faulty machine. One of the most common faults in induction machines is the rotor eccentricity, which can cause significant radial forces and, in extreme cases, produce destructive rotor-stator rub. However, the development of a fast, analytical model of the eccentric IM is a challenging task, due to the non-uniformity of the air gap. In this paper, a new method is proposed to obtain such a fast model. This method, which is theoretically justified, first enables a fast calculation of the self and mutual inductances of the stator and rotor phases for every rotor position, taking into account the non-uniform air-gap length and the actual position of all the stator and rotor conductors. Once these inductances are calculated, they are used in a coupled circuits analytical model of the IM, which in this way is able to calculate the time evolution of the electrical and mechanical quantities that characterize the machine functioning, under any type of eccentricity. Specifically, the model is able to reproduce accurately the characteristic eccentricity fault related harmonics in the spectrum of the stator current. The proposed approach is validated through two different methods. First, using a finite elements (FEM) model, in order to validate the correctness of the proposed method for calculating self and mutual inductances, taking into account the non-uniform air-gap. Finally, through an experimental test-bed using a commercial induction motor with a forced mixed eccentricity fault, in order to validate that the full model correctly reproduces the phase currents in such a way that their spectra accurately show the harmonics related with the eccentricity fault, which are the basis of many MCSA diagnostic approaches.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-05-01
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/10251/169060
url https://riunet.upv.es/handle/10251/169060
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 - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/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 - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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
_version_ 1869406423359684608
spelling Induction machine model with space harmonics for the diagnosis of rotor eccentricity, based on the convolution theoremSapena-Bano, Angel|||0000-0002-3888-6498Martinez-Roman, Javier|||0000-0001-7544-8481Puche-Panadero, Rubén|||0000-0003-2090-1941Manuel Pineda-Sanchez|||0000-0001-7844-8831Riera-Guasp, Martín|||0000-0003-1327-242XPérez-Cruz, JuanInductanceInduction machinesConvolutionDiscrete Fourier transformsFault diagnosisAir gap eccentricityINGENIERIA ELECTRICA[EN] Condition based maintenance (CBM) systems of induction machines (IMs) require fast and accurate models that can reproduce the fault related harmonics generated by different kinds of faults. Such models are needed to develop new diagnostic algorithms for detecting the faults at an early stage, to analyse the physical interactions between simultaneous faults of different types, or to train expert systems that can supervise and identify these faults in an autonomous way. To achieve these goals, these models must take into account the space harmonics of the air gap magnetomotive force (MMF) generated by the machine windings under fault conditions, due to the complex interactions between spatial and time harmonics in a faulty machine. One of the most common faults in induction machines is the rotor eccentricity, which can cause significant radial forces and, in extreme cases, produce destructive rotor-stator rub. However, the development of a fast, analytical model of the eccentric IM is a challenging task, due to the non-uniformity of the air gap. In this paper, a new method is proposed to obtain such a fast model. This method, which is theoretically justified, first enables a fast calculation of the self and mutual inductances of the stator and rotor phases for every rotor position, taking into account the non-uniform air-gap length and the actual position of all the stator and rotor conductors. Once these inductances are calculated, they are used in a coupled circuits analytical model of the IM, which in this way is able to calculate the time evolution of the electrical and mechanical quantities that characterize the machine functioning, under any type of eccentricity. Specifically, the model is able to reproduce accurately the characteristic eccentricity fault related harmonics in the spectrum of the stator current. The proposed approach is validated through two different methods. First, using a finite elements (FEM) model, in order to validate the correctness of the proposed method for calculating self and mutual inductances, taking into account the non-uniform air-gap. Finally, through an experimental test-bed using a commercial induction motor with a forced mixed eccentricity fault, in order to validate that the full model correctly reproduces the phase currents in such a way that their spectra accurately show the harmonics related with the eccentricity fault, which are the basis of many MCSA diagnostic approaches.This work was supported by the Spanish "Ministerio de Ciencia, Innovacion y Universidades (MCIU)", the "Agenda 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 RTI2018-102175-13400 (MCIU/AEI/FEDER, UE).ElsevierEscuela Técnica Superior de Ingeniería Aeroespacial y Diseño IndustrialDepartamento de Ingeniería EléctricaInstituto Universitario de Investigación de Ingeniería EnergéticaEscuela Técnica Superior de Ingeniería IndustrialAgencia Estatal de InvestigaciónEuropean Regional Development FundRepositorio Institucional de la Universitat Politècnica de València Riunet20202020-05-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://riunet.upv.es/handle/10251/169060reponame: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 - No comercial - Sin obra derivada (by-nc-nd) http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1690602026-06-13T07:49:27Z
score 15.300724

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