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http://dspace.univ-temouchent.edu.dz/handle/123456789/5126
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DC Field | Value | Language |
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dc.contributor.author | SOUIDI, Ikram | - |
dc.contributor.author | ABID, Safaâ | - |
dc.contributor.author | BENAZZA, Baghdadi | - |
dc.date.accessioned | 2024-09-12T08:06:06Z | - |
dc.date.available | 2024-09-12T08:06:06Z | - |
dc.date.issued | 2024 | - |
dc.identifier.uri | http://dspace.univ-temouchent.edu.dz/handle/123456789/5126 | - |
dc.description.abstract | Algeria, as an industrialized country, requires a reliable power supply to support its economic development. High-voltage power lines (HV) are crucial but vulnerable to anomalies, threatening the stability of the grid. Traditional inspection methods are ineffective and costly. This study proposes innovative and cost-effective solutions for the inspection and fault detection of power lines using drones and artificial intelligence (AI), aiming to improve the reliability and management of the electrical grid in Algeria. | en_US |
dc.language.iso | fr | en_US |
dc.subject | ligne électrique Haute Tension (HT), Intelligence Artificielle (IA), Drones, Détection des défauts. | en_US |
dc.title | INSPECTIONS DES LIGNES ELECTRIQUES HT PAR DRONE ET IA | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Electrotechnique |
Files in This Item:
File | Description | Size | Format | |
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PFE-Finale - ikram souidi.pdf | 4,48 MB | Adobe PDF | View/Open |
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