Enhancing solar photovoltaic modules quality assurance through convolutional neural network-aided automated defect detection

Sharmarke Hassan; Mahmoud Dhimish

doi:10.1016/j.renene.2023.119389

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Enhancing solar photovoltaic modules quality assurance through convolutional neural network-aided automated defect detection

Sharmarke Hassan Mahmoud Dhimish

Year: 2023 Journal: Renewable Energy Vol: 219 Pages: 119389-119389 Publisher: Elsevier BV

DOI: 10.1016/j.renene.2023.119389

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Keywords:

Photovoltaic system Reliability (semiconductor) Reliability engineering Convolutional neural network Quality assurance Computer science Quality (philosophy) PID controller Automotive engineering Detector Dimension (graph theory) Artificial intelligence Real-time computing Engineering Control engineering Electrical engineering Telecommunications

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Photovoltaic System Optimization Techniques

Physical Sciences → Energy → Renewable Energy, Sustainability and the Environment

Industrial Vision Systems and Defect Detection

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Enhancing solar photovoltaic modules quality assurance through convolutional neural network-aided automated defect detection

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Citation History

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