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dc.contributor.author | Antonino Daviu, José Alfonso | es_ES |
dc.contributor.author | Climente Alarcón, Vicente | es_ES |
dc.contributor.author | Pons Llinares, Joan | es_ES |
dc.date.accessioned | 2015-06-25T06:52:36Z | |
dc.date.available | 2015-06-25T06:52:36Z | |
dc.date.issued | 2014-01 | |
dc.identifier.issn | 0020-7209 | |
dc.identifier.uri | http://hdl.handle.net/10251/52248 | |
dc.description.abstract | In this paper, two laboratory sessions, specially designed to instruct students on the operational methodology of different induction motors fault diagnosis techniques, are presented and explained. The sessions are taught within the context of a subject dealing with predictive maintenance of electrical installations and machines. During the laboratory sessions, the students apply the different condition monitoring techniques, using special educational laboratory test benches built to this end. These test benches allow the students to easily capture the necessary current signals in motors with rather different constructive characteristics, operating conditions and faults. Next, the students must process the captured signals by using available software programs. While stationary current signals are analyzed using the Fast Fourier Transform (FFT) conventional diagnosis approach the startup current signals are processed using the Discrete Wavelet Transform (DWT) modern transient-based diagnosis method. The laboratory sessions have been developed from a collaborative perspective, so that the students are encouraged to work in groups in the experimental part with further collective discussion on their diagnostic conclusions, all within an open framework for information sharing. | es_ES |
dc.description.sponsorship | This work was supported by the Conselleria d'Educacio, Formacio i Ocupacio of the Generalitat Valenciana, in the framework of the 'Ayudas para la Realizacion de Proyectos de I+D para Grupos de Investigacion Emergentes', project reference GV/2012/020. | en_EN |
dc.language | Inglés | es_ES |
dc.publisher | Manchester University Press | es_ES |
dc.relation.ispartof | International Journal of Electrical Engineering Education | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Collaborative work | es_ES |
dc.subject | E-learning | es_ES |
dc.subject | Electric motors | es_ES |
dc.subject | Fault diagnosis | es_ES |
dc.subject | Laboratory sessions | es_ES |
dc.subject.classification | INGENIERIA ELECTRICA | es_ES |
dc.title | Designing collaborative working laboratory sessions for induction machine fault diagnosis learning | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.7227/IJEEE.51.1.6 | |
dc.relation.projectID | info:eu-repo/grantAgreement/GVA//GV%2F2012%2F020/ | es_ES |
dc.rights.accessRights | Cerrado | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Instituto de Ingeniería Energética - Institut d'Enginyeria Energètica | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería Eléctrica - Departament d'Enginyeria Elèctrica | es_ES |
dc.description.bibliographicCitation | Antonino Daviu, JA.; Climente Alarcón, V.; Pons Llinares, J. (2014). Designing collaborative working laboratory sessions for induction machine fault diagnosis learning. International Journal of Electrical Engineering Education. 51(1):68-81. https://doi.org/10.7227/IJEEE.51.1.6 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.7227/IJEEE.51.1.6 | es_ES |
dc.description.upvformatpinicio | 68 | es_ES |
dc.description.upvformatpfin | 81 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 51 | es_ES |
dc.description.issue | 1 | es_ES |
dc.relation.senia | 256940 | |
dc.identifier.eissn | 2050-4578 | |
dc.contributor.funder | Generalitat Valenciana | es_ES |
dc.description.references | Antonino-Daviu, J. A., Riera-Guasp, M., Folch, J. R., & Palomares, M. P. M. (2006). Validation of a new method for the diagnosis of rotor bar failures via wavelet transform in industrial induction machines. IEEE Transactions on Industry Applications, 42(4), 990-996. doi:10.1109/tia.2006.876082 | es_ES |
dc.description.references | Riera-Guasp, M., Antonino-Daviu, J. A., Pineda-Sanchez, M., Puche-Panadero, R., & Perez-Cruz, J. (2008). A General Approach for the Transient Detection of Slip-Dependent Fault Components Based on the Discrete Wavelet Transform. IEEE Transactions on Industrial Electronics, 55(12), 4167-4180. doi:10.1109/tie.2008.2004378 | es_ES |
dc.description.references | Benveniste, R., & Ünsalan, C. (2012). Hands-On DSP Education through Experiments. International Journal of Electrical Engineering & Education, 49(3), 302-309. doi:10.7227/ijeee.49.3.9 | es_ES |