Université Blida 1

Diagnostic d’une chaîne éolienne à base d’un générateur autonome

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dc.contributor.author Bekhoucha, Imad-Eddine Massinissa
dc.date.accessioned 2023-10-11T08:48:34Z
dc.date.available 2023-10-11T08:48:34Z
dc.date.issued 2023
dc.identifier.uri https://di.univ-blida.dz/jspui/handle/123456789/25499
dc.description 4.629.1.161/p92 fr_FR
dc.description.abstract The 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.iso fr fr_FR
dc.publisher blida 1 fr_FR
dc.subject Asynchronous generator, short-circuit winding defect, diagnostics, FFT, Wavelet. fr_FR
dc.title Diagnostic d’une chaîne éolienne à base d’un générateur autonome fr_FR
dc.type Other fr_FR


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