基于知识蒸馏轻量化卷积神经网络与SSCB集成的光伏电弧故障断路器

DC arc faults in photovoltaic systems pose serious safety risks, including fire hazards and power disruption, making accurate and timely detection essential. This article presents PArcNet, a lightweight convolutional neural network architecture optimized through knowledge distillation for efficient arc fault detection in resource-constrained environments. Trained using a high-capacity teacher mode...