Evolution of Surface Defects on Ball Screw Drive Spindles for intelligent Prognostics and Health Management Systems
收藏DataCite Commons2023-01-12 更新2024-07-13 收录
下载链接：
https://publikationen.bibliothek.kit.edu/1000148057
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资源简介：
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.
提供机构：
Karlsruher Institut für Technologie (KIT)
创建时间：
2023-01-12
