首页> 外文会议>Annual meeting of the American Society for Precision Engineering >LEAST SQUARE ESTIMATION OF HARMONIC COMPONENTS IN RADIAL ERROR MEASUREMENT OF A MINIATURIZED MACHINE TOOL SPINDLE
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LEAST SQUARE ESTIMATION OF HARMONIC COMPONENTS IN RADIAL ERROR MEASUREMENT OF A MINIATURIZED MACHINE TOOL SPINDLE

机译:小型机床主轴径向误差测量中谐波分量最小二乘估计

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摘要

Proposed least square method is found to be suitable for the harmonic analysis of spindle radial error data obtained in discrete time interval. Fourier transform method does not provide accurate values for the harmonic components of measurement data due to spectral leakage. The proposed method is suitable for analyzing short duration measurement data with incomplete number of spindle revolutions. The present algorithm requires no frequency domain conversion for the harmonic analysis of measurement data, consequently it can be used for online measurement and analysis of spindle error motions of miniaturized machine tool.
机译:发现最小二乘法是适用于在离散时间间隔获得的主轴径向误差数据的谐波分析。傅里叶变换方法由于光谱泄漏而不为测量数据的谐波分量提供准确的值。所提出的方法适用于分析具有不完全数量的主轴转数的短持续时间测量数据。本算法不需要对测量数据的谐波分析不需要频域转换,因此它可用于小型化机床的主轴误差运动的在线测量和分析。

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