Datasets (Tr0, Va0, Te0, Tr1, Va1, Te1, Te2) consisting of partial discharge (PD) and noise signals (NonPD) from electrical machines referred to in the publication "Deep learning and data augmentation
Insulation fault detection in rotating machinery using Partial Discharge (PD) has been a hot research topic over the last decades. In recent years, attention has also been paid to low voltage machines
电气线路缺陷检测数据集,由APEPDCL公司的线路工人使用移动相机捕获,并由Sampath Balaji及其团队整理。该数据集旨在促进开源合作、可重现性和AI领域的实践学习。数据集包括YOLOv12格式的目标检测数据集和文件夹+CSV格式的分类数据集,均有训练集、验证集和测试集的划分。数据集遵循CC BY 4.0许可证,代码遵循MIT许可证。