Please use this identifier to cite or link to this item:
http://dspace.ensta.edu.dz/jspui/handle/123456789/184
Title: | Induction Machine Faults Diagnosis |
Other Titles: | A State of the Art |
Authors: | AIT MOULOUD, Louiza DEBOUCHA, Abdelhakim (Supervisor) OUNNAS, Badredine (Supervisor) |
Issue Date: | 2020 |
Abstract: | Rotary Machines such as motors, compressors, pumps and turbines are of major importance in the industry and keeping them running reliably and efficiently at all time is a number one purpose all of the companies. However, the harsh environment where these machines operate make them expose to many failures that may lead to machinery downtimes and production shutdowns, therefore, predictive maintenance is introduced primarily in the context of industry 4.0 to prevent such catastrophes and increase manufacturing productivity. |
Description: | Memoire de fin d'étude master:Traction Electrique :Alger Ecole National Supérieure des Technologies Avancées (ex ESSA):2020 |
URI: | http://dspace.edu.enst.dz/jspui/handle/123456789/184 |
Appears in Collections: | MFE- Electrotechnique (Traction Electrique) |
Files in This Item:
File | Description | Size | Format | |
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MFE.2020.TE.AIT MOULOUD.pdf | MFE d'ingeniorat | 864.57 kB | Adobe PDF | View/Open |
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