数控机床精度自愈检测数据集

数控机床精度自愈检测数据集主要面向数控机床精度自愈前后的精度变化，分别检测了精度自愈前后的机床温度与热误差数据，时间跨度超过三个月，检测结果表明，精度稳健自愈模型使机床精度稳健保持了超过三个月。基于温度传感器采集机床温度数据，基于电涡流位移传感器采集机床的热误差数据。

The CNC machine tool accuracy self-healing detection dataset targets the accuracy variations of CNC machine tools before and after accuracy self-healing. It collects the machine tool temperature and thermal error data respectively in the two stages, with a time span of more than three months. The detection results demonstrate that the robust accuracy self-healing model enables the machine tool accuracy to be stably maintained for over three months. The machine tool temperature data is collected via temperature sensors, while the thermal error data is collected using eddy current displacement sensors.

搜集汇总

背景与挑战

背景概述

数控机床精度自愈检测数据集包含精度自愈前后的机床温度与热误差数据，时间跨度超过三个月，数据量约为950.41KB，由重庆理工大学创建。数据集支持数控机床精度稳健自愈理论与方法的研究。