Defect Detection of Photovoltaic Modules Based on Convolutional Neural Network

Mingjian Sun; Shengmiao Lv; Xue Zhao; Ruya Li; Wenhan Zhang; Xiao Zhang

doi:10.1007/978-3-319-73564-1_13

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Defect Detection of Photovoltaic Modules Based on Convolutional Neural Network

Mingjian Sun Shengmiao Lv Xue Zhao Ruya Li Wenhan Zhang Xiao Zhang

Year: 2018 Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Pages: 122-132

DOI: 10.1007/978-3-319-73564-1_13

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Keywords:

Photovoltaic system Convolutional neural network Computer science Battery (electricity) Artificial intelligence Set (abstract data type) Pattern recognition (psychology) Artificial neural network Electronic engineering Power (physics) Computer vision Engineering Electrical engineering

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Industrial Vision Systems and Defect Detection

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Photovoltaic System Optimization Techniques

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

CCD and CMOS Imaging Sensors

Physical Sciences → Engineering → Electrical and Electronic Engineering

Defect Detection of Photovoltaic Modules Based on Convolutional Neural Network

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