Machine tools degrade during operations, yet knowledge of degradation is elusive; accurately detecting degradation of linear axes is typically a manual and time-consuming process. Manufacturers need automated and efficient methods to diagnose the condition of their machine tool linear axes with minimal disruptions to production. A method was developed to use data from an inertial measurement unit (IMU) for identification of changes in the translational and angular errors due to axis degradation. A linear axis testbed, established for the purpose of verification and validation, revealed that the IMU-based method was capable of measuring geometric errors with acceptable test uncertainty ratios.

中文翻译：

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机床线性轴几何性能诊断

机床在操作过程中会退化，但关于退化的知识却难以捉摸；准确检测线性轴的退化通常是一个手动且耗时的过程。制造商需要自动化和高效的方法来诊断机床线性轴的状况，同时最大限度地减少生产中断。开发了一种方法来使用惯性测量单元 (IMU) 的数据来识别由于轴退化引起的平移和角度误差的变化。为验证和验证目的而建立的线性轴测试台表明，基于 IMU 的方法能够以可接受的测试不确定性比测量几何误差。