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Abdennour C. Seibi on Muck Rack

Abdennour C. Seibi

As seen in: MDPI, Mechanical Engineering Magazine
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Articles

Defect Detection and Classification on Wind Turbine Blades Using Deep Learning with Fuzzy Voting

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By Clark Allen, Abdennour C. Seibi, Mohammad A. S, Reed Pratt
| MDPI
1. Introduction The year 2023 marked a milestone for the wind industry, achieving unprecedented growth with a 50% increase in installations compared to the previous year. This surge reflects the increasing global demand for renewable energy sources, driven in part by ambitious international goals, such as the commitment in the COP28 agreement to triple renewable energy capacity by 2030 [1]. Wind turbines play a pivotal role in the transition to renewable energy.
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Enhanced Non-Destructive Testing of Small Wind Turbine Blades Using Infrared Thermography

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By Majid Memari, Mohammad Shekaramiz, Abdennour C. Seibi, Mohammad A. S
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Experimental Study of the Tensile Behavior of Structures Obtained by FDM 3D Printing Process

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By Sami Chatti, Borhen Louhichi, Abdennour C. Seibi
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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