Evolution of Surface Defects on Ball Screw Drive Spindles for intelligent Prognostics and Health Management Systems

The dataset shows the development of 82 surface defects (pits) over the operating time of Ball Screw Drives. The name of the images is structured as follows: XX_XX_YYMMDDHHMMSS_XX_XX. Here X is some identifier, which is not important in this context. The dataset is especially suited to investigate the development of surface defects on ball screw drive spindles. The dataset mainly addresses the machine learning research community for engineering and computer science to build intelligent models for surface defect detection and forecasting in the context of prognostics and health management (PHM). Each folder consists the evolution of one pit.

本数据集记录了82处表面凹坑（pits）缺陷在滚珠丝杠传动装置（Ball Screw Drives）运行周期内的演化历程。图像的命名规则如下：XX_XX_YYMMDDHHMMSS_XX_XX，其中X为任意标识符，在此研究场景中无实际意义。本数据集尤其适用于滚珠丝杠主轴表面缺陷演化规律的相关研究。该数据集主要面向工程与计算机科学领域的机器学习研究人员，用于构建面向预测与健康管理（Prognostics and Health Management, PHM）场景下的表面缺陷检测与预测智能模型。每个文件夹对应一处凹坑缺陷的完整演化过程。