Deep learning-based linear defects detection system for large-scale photovoltaic plants based on an edge-cloud computing infrastructure

•An edge-cloud computing-based defect detection and diagnosis system for large-scale PV plants is proposed.•A synthetical method is designed for linear defects detection using EL images of PV modules.•The communication overhead reduction is considered for online defect detection.•The proposed solution is assessed and validated through field experiments.