- -

Induction machine model with space harmonics for fault diagnosis based on the convolution theorem

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Induction machine model with space harmonics for fault diagnosis based on the convolution theorem

Show simple item record

Files in this item

dc.contributor.author Sapena-Bano, Angel es_ES
dc.contributor.author Martinez-Roman, Javier es_ES
dc.contributor.author Puche-Panadero, Rubén es_ES
dc.contributor.author Pineda-Sanchez, Manuel es_ES
dc.contributor.author Pérez-Cruz, Juan es_ES
dc.contributor.author Riera-Guasp, Martín es_ES
dc.date.accessioned 2019-11-01T21:02:04Z
dc.date.available 2019-11-01T21:02:04Z
dc.date.issued 2018 es_ES
dc.identifier.issn 0142-0615 es_ES
dc.identifier.uri http://hdl.handle.net/10251/130114
dc.description.abstract [EN] Fault diagnosis of induction machines (IMs) requires a fast model of the machine, for adjusting fault thresholds in data-driven diagnostic methods, for computing the residuals in model-driven diagnostic systems, or for training autonomous expert systems. Due to the interaction between time and space harmonics under faulty conditions, this model must simulate very accurately the space harmonics of the air gap magnetomotive force (MMF) generated by the machine's windings. But the computation of the phases' inductances, taking into account the spatial harmonics of the MMF, for every angular position of the rotor, and under non-symmetrical, faulty conditions, is a time-consuming task in IMs' models. In this paper, a very fast method for obtaining the inductances of rotating electrical machines is proposed, based on a single discrete circular convolution. With the proposed approach, the mutual inductances of two phases, taking into account the spatial harmonics of the air gap MMF, are calculated for every relative angular position using a single equation, solved with the fast Fourier transform (FFT). Asymmetrical winding distributions, and the linear rise of the air gap MMF across skewed slots are easily modeled without increasing the computation time. The proposed method is introduced theoretically and validated with an experimental test-bed using commercial induction motors with forced broken bars faults. es_ES
dc.description.sponsorship This work was supported by the Spanish "Ministerio de Economia y Competitividad" in the framework of the "Programa Estatal de Investigacion, Desarrollo e Innovacion Orientada a los Retos de la Sociedad" (project reference DPI2014-60881-R). es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation MINECO/DPI2014-60881-R-AR es_ES
dc.relation.ispartof International Journal of Electrical Power & Energy Systems es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Inductance es_ES
dc.subject Induction machines es_ES
dc.subject Convolution es_ES
dc.subject Discrete Fourier transforms es_ES
dc.subject Winding function approach es_ES
dc.subject Fault diagnosis es_ES
dc.subject.classification INGENIERIA ELECTRICA es_ES
dc.title Induction machine model with space harmonics for fault diagnosis based on the convolution theorem es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.ijepes.2018.03.001 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 Sapena-Bano, A.; Martinez-Roman, J.; Puche-Panadero, R.; Pineda-Sanchez, M.; Pérez-Cruz, J.; Riera-Guasp, M. (2018). Induction machine model with space harmonics for fault diagnosis based on the convolution theorem. International Journal of Electrical Power & Energy Systems. 100:463-481. https://doi.org/10.1016/j.ijepes.2018.03.001 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.ijepes.2018.03.001 es_ES
dc.description.upvformatpinicio 463 es_ES
dc.description.upvformatpfin 481 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 100 es_ES
dc.relation.pasarela S\364288 es_ES
dc.contributor.funder Ministerio de Economía y Empresa es_ES


This item appears in the following Collection(s)

Show simple item record