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Detection and analysis of deteriorated areas in solar PV modules using unsupervised sensing algorithms and 3D augmented reality.

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第一作者： Adel,Oulefki

第一单位： University of Sharjah, Sharjah, United Arab Emirates.;Centre de Développement des Technologies Avancées (CDTA), Algiers, 16018, Algeria.

作者： Adel,Oulefki ^[1] ; Yassine,Himeur ^[2] ; Thaweesak,Trongtirakul ^[3] ; Kahina,Amara ^[4] ; Sos,Agaian ^[5] ; Samir,Benbelkacem ^[4] ; Mohamed Amine,Guerroudji ^[4] ; Mohamed,Zemmouri ^[6] ; Sahla,Ferhat ^[4] ; Nadia,Zenati ^[4] ; Shadi,Atalla ^[2] ; Wathiq,Mansoor ^[2]

作者单位： University of Sharjah, Sharjah, United Arab Emirates.;Centre de Développement des Technologies Avancées (CDTA), Algiers, 16018, Algeria. ^[1] College of Engineering and Information Technology, University of Dubai, Dubai, United Arab Emirates. ^[2] Faculty of Industrial Education Rajamangala University of Technology Phra Nakhon, Vachira Phayaban Dusit Bangkok 10300, Bangkok, 10300, Bangkok, Thailand. ^[3] Centre de Développement des Technologies Avancées (CDTA), Algiers, 16018, Algeria. ^[4] Dept. of Computer Science, College of Staten Island, 2800 Victory Blvd Staten Island, New York, 10314, NY, USA. ^[5] Université Kasdi Merbah, Ouargla, Ouargla, 30000, Ouargla, Algeria. ^[6]

关键词 Augmented reality visualization Fault and abnormality detection Image enhancement Solar photovoltaic (PV)Unsupervised segmentation

DOI 10.1016/j.heliyon.2024.e27973

PMID 38532999

发布时间 2024-03-28

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Detection and analysis of deteriorated areas in solar PV modules using unsupervised sensing algorithms and 3D augmented reality.

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Detection and analysis of deteriorated areas in solar PV modules using unsupervised sensing algorithms and 3D augmented reality.

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