Please use this identifier to cite or link to this item:
http://localhost:8080/xmlui/handle/123456789/25251| Title: | Détection d’anomalies pour les bruits de machine |
| Authors: | MORSLI, Manel |
| Keywords: | Deep learning, Anomalies, features. |
| Issue Date: | 2023 |
| Publisher: | blida 1 |
| Abstract: | The goal of this project was to detect the anomalies in machine noises whiccan be very indicative of potential performance issues. We propose a methodology that utilizes signal processing techniques and machinlearning algorithms to automatically identify abnormal patterns in machine noise data |
| Description: | 4.621.1.1267/p63 |
| URI: | https://di.univ-blida.dz/jspui/handle/123456789/25251 |
| Appears in Collections: | Mémoires de Master |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| mémoire finale.pdf | 3,46 MB | Adobe PDF | View/Open |
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