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Harmonic Order Tracking Analysis: A Speed-Sensorless Method for Condition Monitoring of Wound Rotor Induction Generators

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Harmonic Order Tracking Analysis: A Speed-Sensorless Method for Condition Monitoring of Wound Rotor Induction Generators

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dc.contributor.author Sapena Bañó, Ángel es_ES
dc.contributor.author Riera Guasp, Martín es_ES
dc.contributor.author Puche Panadero, Rubén es_ES
dc.contributor.author Martínez Román, Javier Andrés es_ES
dc.contributor.author Pérez Cruz, Juan es_ES
dc.contributor.author Pineda Sánchez, Manuel es_ES
dc.date.accessioned 2017-06-21T12:25:36Z
dc.date.available 2017-06-21T12:25:36Z
dc.date.issued 2016-11
dc.identifier.issn 0093-9994
dc.identifier.uri http://hdl.handle.net/10251/83368
dc.description "(c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works." es_ES
dc.description.abstract [EN] This paper introduces a speed-sensorless method for detecting rotor asymmetries in wound rotor induction machines working under nonstationary conditions. The method is based on the time-frequency analysis of rotor currents and on a subsequent transformation, which leads to the following goals: unlike conventional spectrograms, it enables to show the diagnostic results as a simple graph, similar to a Fourier spectrum, but where the fault components are placed always at the same positions, regardless the working conditions of the machine; moreover, it enables to assess the machine condition through a very small set of parameters. These characteristics facilitate the understanding and processing of the diagnostic results, and thus, help to design improved monitoring and predictive maintenance systems. Also these features make the proposed method very suitable for condition monitoring of wind power generators, because it fits well with the usual non stationaryworking conditions ofwind turbines, and makes feasible the transmission of significant diagnostic information to the remote monitoring center using standard data transmission systems. Simulation results and experimental tests, carried out on a 5-kW laboratory rig, show the validity of the proposed method and illustrate its advantages regarding previously developed diagnostic methods under nonstationary conditions. 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 under Project (DPI2014-60881-R). en_EN
dc.language Inglés es_ES
dc.publisher Institute of Electrical and Electronics Engineers (IEEE) es_ES
dc.relation MINECO/DPI2014-60881-R es_ES
dc.relation.ispartof IEEE Transactions on Industry Applications es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Condition monitoring es_ES
dc.subject extended Park's vector es_ES
dc.subject fault diagnosis es_ES
dc.subject Fourier transforms es_ES
dc.subject Gabor transform es_ES
dc.subject harmonic order tracking analysis es_ES
dc.subject motor-current signature analysis es_ES
dc.subject non-stationary working conditions es_ES
dc.subject rotor asymmetries es_ES
dc.subject signal processing es_ES
dc.subject time-frequency distributions es_ES
dc.subject wound rotor induction machines (WRIMs) es_ES
dc.subject.classification INGENIERIA ELECTRICA es_ES
dc.title Harmonic Order Tracking Analysis: A Speed-Sensorless Method for Condition Monitoring of Wound Rotor Induction Generators es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1109/TIA.2016.2597134
dc.rights.accessRights Abierto 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 Sapena Bañó, Á.; Riera Guasp, M.; Puche Panadero, R.; Martínez Román, JA.; Pérez Cruz, J.; Pineda Sánchez, M. (2016). Harmonic Order Tracking Analysis: A Speed-Sensorless Method for Condition Monitoring of Wound Rotor Induction Generators. IEEE Transactions on Industry Applications. 52(6):4719-4729. doi:10.1109/TIA.2016.2597134 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://doi.org/10.1109/TIA.2016.2597134 es_ES
dc.description.upvformatpinicio 4719 es_ES
dc.description.upvformatpfin 4729 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 52 es_ES
dc.description.issue 6 es_ES
dc.relation.senia 326172 es_ES
dc.identifier.eissn 1939-9367
dc.contributor.funder Ministerio de Economía y Competitividad (MINECO)


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