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Enhanced Simulink Induction Motor Model for Education and Maintenance Training

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Enhanced Simulink Induction Motor Model for Education and Maintenance Training

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dc.contributor.author Pineda-Sanchez, Manuel es_ES
dc.contributor.author Climente Alarcón, Vicente es_ES
dc.contributor.author Riera-Guasp, Martín es_ES
dc.contributor.author Puche-Panadero, Rubén es_ES
dc.contributor.author Pons Llinares, Joan es_ES
dc.date.accessioned 2018-07-05T04:22:10Z
dc.date.available 2018-07-05T04:22:10Z
dc.date.issued 2012 es_ES
dc.identifier.uri http://hdl.handle.net/10251/105282
dc.description.abstract [EN] The training of technicians in maintenance requires the use of signals produced by faulty machines in different operating conditions, which are difficult to obtain either from the industry or through destructive testing. Some tasks in electricity and control courses can also be complemented by an interactive induction machine model having a wider internal parameter configuration. This paper presents a new analytical model of induction machine under fault, which is able to simulate induction machines with rotor asymmetries and eccentricity in different load conditions, both stationary and transient states and yielding magnitudes such as currents, speed and torque. This model is faster computationally than the traditional method of simulating induction machine faults based on the Finite Element Method and also than other analytical models due to the rapid calculation of the inductances. The model is presented in Simulink by Matlab for the comprehension and interactivity with the students or lecturers and also to allow the easy combination of the effect of the fault with external influences, studying their consequences on a determined load or control system. An associated diagnosis tool is also presented. es_ES
dc.description.sponsorship This work was supported by the Spanish Ministerio de Ciencia e Innovación under the framework of the Programa Nacional de Proyectos de Investigación Fundamental, Project Reference DPI2011-23740
dc.language Inglés es_ES
dc.publisher International Institute of Informatics and Cybernetics es_ES
dc.relation.ispartof Journal of Systemics, Cybernetics and Informatics es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Simulation es_ES
dc.subject Training es_ES
dc.subject Induction motor es_ES
dc.subject Matlab/Simulink es_ES
dc.subject Interactive tools es_ES
dc.subject Maintenance es_ES
dc.subject E- training es_ES
dc.subject.classification INGENIERIA ELECTRICA es_ES
dc.title Enhanced Simulink Induction Motor Model for Education and Maintenance Training es_ES
dc.type Artículo es_ES
dc.type Comunicación en congreso es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//DPI2011-23740/ES/DESARROLLO DE TECNICAS DE DIAGNOSTICO DE AVERIAS INCIPIENTES EN AEROGENERADORES, MEDIANTE EL ANALISIS TIEMPO-FRECUENCIA DE MAGNITUDES ELECTRICAS/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Eléctrica - Departament d'Enginyeria Elèctrica es_ES
dc.description.bibliographicCitation Pineda-Sanchez, M.; Climente Alarcón, V.; Riera-Guasp, M.; Puche-Panadero, R.; Pons Llinares, J. (2012). Enhanced Simulink Induction Motor Model for Education and Maintenance Training. Journal of Systemics, Cybernetics and Informatics. 10(2):92-97. http://hdl.handle.net/10251/105282 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 2nd International Conference on Society and Information Technologies (ICSIT 2011) es_ES
dc.relation.conferencedate March 27-30,2011 es_ES
dc.relation.conferenceplace Orlando, USA es_ES
dc.relation.publisherversion http://www.iiis.org/cds2011/cd2011imc/iceti_2011/paperspdf/eb064iu.pdf es_ES
dc.description.upvformatpinicio 92 es_ES
dc.description.upvformatpfin 97 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 10 es_ES
dc.description.issue 2 es_ES
dc.identifier.eissn 1690-4524 es_ES
dc.relation.pasarela S\282034 es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES


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