dc.contributor.author |
Iglesias-Martínez, Miguel E.
|
es_ES |
dc.contributor.author |
Guerra Carmenate, Jose
|
es_ES |
dc.contributor.author |
Antonino-Daviu, J.
|
es_ES |
dc.contributor.author |
Dunai, Larisa
|
es_ES |
dc.contributor.author |
Platero, Carlos A.
|
es_ES |
dc.contributor.author |
Conejero, J. Alberto
|
es_ES |
dc.contributor.author |
Fernández de Córdoba, Pedro
|
es_ES |
dc.date.accessioned |
2024-04-19T18:03:05Z |
|
dc.date.available |
2024-04-19T18:03:05Z |
|
dc.date.issued |
2023-08 |
es_ES |
dc.identifier.issn |
0093-9994 |
es_ES |
dc.identifier.uri |
http://hdl.handle.net/10251/203634 |
|
dc.description.abstract |
[EN] In this work, the application of the bicoherence (a squared normalized version of the bispectrum) of the stray flux signal is proposed as a way of detecting faults in the field winding of synchronous motors. These signals are analyzed both under the starting and at steady state regime. Likewise, two quantitative indicators are proposed, the first one based on the maximum values of the asymmetry and the kurtosis of the bicoherence matrix obtained from the flux signals and the second one relying on an algorithm based on the bicoherence image segmentation of the obtained pattern for each analyzed state. The results are analyzed through a comparative study for the two considered motor regimes, obtaining satisfactory results that sustain the potential application of the proposed methodology for the automatic field winding fault detection in real applications. |
es_ES |
dc.description.sponsorship |
Miguel E. Iglesias Martínez s work was supported by the postdoctoral
research scholarship "Ayudas para la recualificación del sistema universitario
español 2021-2023. Modalidad: Margarita Salas", UPV, Ministerio de
Universidades, Plan de Recuperación, Transformación y Resiliencia, Spain.
Funded by the European Union-Next Generation EU. This work is also
supported by Generalitat Valenciana (reference CIAICO/2021/020) |
es_ES |
dc.language |
Inglés |
es_ES |
dc.publisher |
Institute of Electrical and Electronics Engineers |
es_ES |
dc.relation.ispartof |
IEEE Transactions on Industry Applications |
es_ES |
dc.rights |
Reserva de todos los derechos |
es_ES |
dc.subject |
Bicoherence |
es_ES |
dc.subject |
Motors |
es_ES |
dc.subject |
Skewness-Kurtosis |
es_ES |
dc.subject |
Flux |
es_ES |
dc.subject |
Winding Faults |
es_ES |
dc.subject.classification |
EXPRESION GRAFICA EN LA INGENIERIA |
es_ES |
dc.subject.classification |
INGENIERIA ELECTRICA |
es_ES |
dc.subject.classification |
MATEMATICA APLICADA |
es_ES |
dc.title |
Automatic Classification of Field Winding Faults in Synchronous Motors based on Bicoherence Image Segmentation and Higher Order Statistics of Stray Flux Signals |
es_ES |
dc.type |
Artículo |
es_ES |
dc.identifier.doi |
10.1109/TIA.2023.3262220 |
es_ES |
dc.relation.projectID |
info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//CIAICO%2F2021%2F020//DESARROLLO DE TÉCNICAS INTELIGENTES BASADAS EN ANÁLISIS COMBINADO DE CORRIENTES Y FLUJOS PARA EL DIAGNÓSTICO DE NUEVAS TIPOLOGÍAS DE FALLO Y CONDICIONES DE OPERACIÓN EN MOTORES DE INDUCCIÓN/ |
es_ES |
dc.rights.accessRights |
Abierto |
es_ES |
dc.contributor.affiliation |
Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica |
es_ES |
dc.contributor.affiliation |
Universitat Politècnica de València. Instituto Universitario de Matemática Pura y Aplicada - Institut Universitari de Matemàtica Pura i Aplicada |
es_ES |
dc.contributor.affiliation |
Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials |
es_ES |
dc.description.bibliographicCitation |
Iglesias-Martínez, ME.; Guerra Carmenate, J.; Antonino-Daviu, J.; Dunai, L.; Platero, CA.; Conejero, JA.; Fernández De Córdoba, P. (2023). Automatic Classification of Field Winding Faults in Synchronous Motors based on Bicoherence Image Segmentation and Higher Order Statistics of Stray Flux Signals. IEEE Transactions on Industry Applications. 59(4):3945-3954. https://doi.org/10.1109/TIA.2023.3262220 |
es_ES |
dc.description.accrualMethod |
S |
es_ES |
dc.relation.publisherversion |
https://doi.org/10.1109/TIA.2023.3262220 |
es_ES |
dc.description.upvformatpinicio |
3945 |
es_ES |
dc.description.upvformatpfin |
3954 |
es_ES |
dc.type.version |
info:eu-repo/semantics/publishedVersion |
es_ES |
dc.description.volume |
59 |
es_ES |
dc.description.issue |
4 |
es_ES |
dc.relation.pasarela |
S\486083 |
es_ES |
dc.contributor.funder |
GENERALITAT VALENCIANA |
es_ES |
dc.subject.ods |
09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación |
es_ES |