Effective transfer learning of defect detection for photovoltaic module cells in electroluminescence images

Xiangying Xie; Guangzhi Lai; Meiyue You; Jianming Liang; Biao Leng

doi:10.1016/j.solener.2022.10.055

ScienceGate Book Chapters

JOURNAL ARTICLE

Effective transfer learning of defect detection for photovoltaic module cells in electroluminescence images

Xiangying Xie Guangzhi Lai Meiyue You Jianming Liang Biao Leng

Year: 2023 Journal: Solar Energy Vol: 250 Pages: 312-323 Publisher: Elsevier BV

DOI: 10.1016/j.solener.2022.10.055

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Monocrystalline silicon Discriminator Transfer of learning Artificial intelligence Photovoltaic system Classifier (UML) Machine learning Materials science Optoelectronics Electrical engineering Engineering Detector

Metrics

Cited By

12.85

FWCI (Field Weighted Citation Impact)

Refs

0.98

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Industrial Vision Systems and Defect Detection

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Non-Destructive Testing Techniques

Physical Sciences → Engineering → Mechanical Engineering

Effective transfer learning of defect detection for photovoltaic module cells in electroluminescence images

Metrics

Citation History

Topics

Related Documents

An efficient CNN-based detector for photovoltaic module cells defect detection in electroluminescence images

Photovoltaic Module Electroluminescence Defect Detection Method and Defect Analysis

Deep learning based automatic defect identification of photovoltaic module using electroluminescence images

Transfer Learning based Photovoltaic Module Defect Diagnosis using Aerial Images

Segmentation of photovoltaic module cells in uncalibrated electroluminescence images