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Élément Dublin Core | Valeur | Langue |
---|---|---|
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 |
Collection(s) : | Mémoires de Master |
Fichier(s) constituant ce document :
Fichier | Description | Taille | Format | |
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Memoire-1-1-92.pdf | 6,45 MB | Adobe PDF | Voir/Ouvrir |
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