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Selection of Methods for Filtering the Signal when Measuring at Coordinate Measuring Machine

机译:坐标测量机测量时信号滤波方法的选择

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The actual tasks of surface metrology are the control of the production process and the optimization of the operation of the workpieces. An important problem in the processing of measurement information is the filtration of the received signal. Known methods and standards are considering only the processes of measuring roughness and roundness. Therefore, we carried out studies on the applicability of filtration methods in the general case for coordinate measurements. The article presents an overview of the filters that have received the greatest application in other fields of technology. Based on the review, a filtering strategy has been developed for coordinate measurements. We recommend the following sequence: elimination of gross errors based on the Grubbs test, discrete Fourier transform for revealing systematic errors, minimization of a random error with the help of a bilateral Gaussian filter, surface reconstruction after filtering based on the inverse Fourier transform. The proposed filter sequence was tested in the plane measurement and confirmed the high efficiency of minimizing the random component of the signal.
机译:表面计量的实际任务是控制生产过程和优化工件的操作。处理测量信息中的一个重要问题是接收信号的滤波。已知的方法和标准仅考虑测量粗糙度和圆度的过程。因此,我们对一般情况下坐标测量中过滤方法的适用性进行了研究。本文概述了在其他技术领域中得到最大应用的过滤器。在此基础上,开发了一种用于坐标测量的过滤策略。我们建议按以下顺序进行:消除基于Grubbs检验的粗略误差,用于揭示系统误差的离散傅立叶变换,借助双边高斯滤波器最小化随机误差,基于傅立叶逆变换进行滤波后的曲面重建。在平面测量中测试了所提出的滤波器序列,并确认了将信号的随机分量最小化的高效方法。

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