Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/25499
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dc.contributor.authorBekhoucha, Imad-Eddine Massinissa-
dc.date.accessioned2023-10-11T08:48:34Z-
dc.date.available2023-10-11T08:48:34Z-
dc.date.issued2023-
dc.identifier.urihttps://di.univ-blida.dz/jspui/handle/123456789/25499-
dc.description4.629.1.161/p92fr_FR
dc.description.abstractThe rapidly growing wind energy industry justifies the need to develop predictive diagnostic methods for asynchronous generators. In this study, we will mainly try out two different models for the asynchronous generator in order to look at the diagnostic methods later on, where we will look in more detail at the different ways of signal analysis, in particular the fast Fourier transform and the wavelet transform, in order to extract the signs needed for the diagnosis of the whole system.fr_FR
dc.language.isofrfr_FR
dc.publisherblida 1fr_FR
dc.subjectAsynchronous generator, short-circuit winding defect, diagnostics, FFT, Wavelet.fr_FR
dc.titleDiagnostic d’une chaîne éolienne à base d’un générateur autonomefr_FR
dc.typeOtherfr_FR
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