Please use this identifier to cite or link to this item:
http://localhost:8080/xmlui/handle/123456789/25499| Title: | Diagnostic d’une chaîne éolienne à base d’un générateur autonome |
| Authors: | Bekhoucha, Imad-Eddine Massinissa |
| Keywords: | Asynchronous generator, short-circuit winding defect, diagnostics, FFT, Wavelet. |
| Issue Date: | 2023 |
| Publisher: | blida 1 |
| 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. |
| Description: | 4.629.1.161/p92 |
| URI: | https://di.univ-blida.dz/jspui/handle/123456789/25499 |
| Appears in Collections: | Mémoires de Master |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Memoire-1-1-92.pdf | 6,45 MB | Adobe PDF | View/Open |
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