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Analysis of CMM dynamic measurement error based on kernel estimation

机译：基于内核估计的CMM动态测量误差分析

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摘要

To overcome the sources of dynamic measurement error which are intricate and influence each other so that makes it difficult to model by parameter identification method in coordinate measuring machine's dynamic measurement error model. This article use kernel estimation to analyze the complicated relationship between dynamic measurement error values and three dimensional coordinates and direct computer control parameters including positioning velocity, approaching distance and contacting velocity. In the model, the differences of the variable corresponding to the measurement errors are considered, and the dynamic measurement errors are predicted. The research results show that the predict effect of the kernel estimation regression model has been significantly improved. It is better than ordinary least squares regression and partial least squares regression model by considering the interaction.
机译：克服动态测量误差的来源，它们彼此复杂并影响，使得难以通过参数识别方法在坐标测量机的动态测量误差模型中进行模拟。本文使用内核估计来分析动态测量误差值和三维坐标之间的复杂关系以及直接计算机控制参数，包括定位速度，接近距离和接触速度。在模型中，考虑对应于测量误差的变量的差异，并且预测动态测量误差。研究结果表明，内核估计回归模型的预测效果得到了显着改善。通过考虑交互，它优于普通的最小二乘回归和偏最小二乘回归模型。

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